CRAN Package Check Results for Package VIM

Last updated on 2020-08-19 01:50:21 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 6.0.0 37.64 180.13 217.77 OK
r-devel-linux-x86_64-debian-gcc 6.0.0 32.25 135.17 167.42 OK
r-devel-linux-x86_64-fedora-clang 6.0.0 279.72 NOTE
r-devel-linux-x86_64-fedora-gcc 6.0.0 256.11 NOTE
r-devel-windows-ix86+x86_64 6.0.0 104.00 270.00 374.00 OK
r-patched-linux-x86_64 6.0.0 33.92 174.78 208.70 OK
r-patched-solaris-x86 6.0.0 351.30 NOTE
r-release-linux-x86_64 6.0.0 32.03 173.65 205.68 OK
r-release-macos-x86_64 6.0.0 NOTE
r-release-windows-ix86+x86_64 6.0.0 93.00 280.00 373.00 OK
r-oldrel-macos-x86_64 6.0.0 ERROR
r-oldrel-windows-ix86+x86_64 6.0.0 67.00 298.00 365.00 ERROR

Check Details

Version: 6.0.0
Check: dependencies in R code
Result: NOTE
    Namespace in Imports field not imported from: ‘magrittr’
     All declared Imports should be used.
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-patched-solaris-x86, r-release-macos-x86_64, r-oldrel-macos-x86_64

Version: 6.0.0
Check: Rd cross-references
Result: NOTE
    Undeclared packages ‘mvoutlier’, ‘mi’ in Rd xrefs
Flavor: r-devel-linux-x86_64-fedora-clang

Version: 6.0.0
Check: data for non-ASCII characters
Result: NOTE
     Note: found 2754 marked UTF-8 strings
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-patched-solaris-x86, r-release-macos-x86_64, r-oldrel-macos-x86_64

Version: 6.0.0
Check: tests
Result: ERROR
     Running ‘testthat.R’ [46s/17s]
    Running the tests in ‘tests/testthat.R’ failed.
    Last 13 lines of output:
     Time difference of 0.01422095 secs
     Time difference of 0.02130198 secs
     Time difference of 0.02294302 secs
     No missings in x.
     ══ testthat results ═══════════════════════════════════════════════════════════
     [ OK: 135 | SKIPPED: 0 | WARNINGS: 0 | FAILED: 6 ]
     1. Failure: irmi base (@test_IRMI_ordered.R#10)
     2. Failure: irmi step (@test_IRMI_ordered.R#15)
     3. Failure: irmi step noise (@test_IRMI_ordered.R#20)
     4. Failure: irmi robust (@test_IRMI_ordered.R#25)
     5. Failure: irmi robust noise (@test_IRMI_ordered.R#34)
     6. Failure: irmi robust noise with no imp_var (@test_IRMI_ordered.R#39)
    
     Error: testthat unit tests failed
     Execution halted
Flavor: r-oldrel-macos-x86_64

Version: 6.0.0
Check: running tests for arch ‘i386’
Result: ERROR
     Running 'testthat.R' [21s]
    Running the tests in 'tests/testthat.R' failed.
    Complete output:
     > library(testthat)
     > library(VIM)
     Loading required package: colorspace
     Loading required package: grid
     VIM is ready to use.
    
     Suggestions and bug-reports can be submitted at: https://github.com/statistikat/VIM/issues
    
     Attaching package: 'VIM'
    
     The following object is masked from 'package:datasets':
    
     sleep
    
     > test_check("VIM")
     -- 1. Failure: irmi base (@test_IRMI_ordered.R#10) ----------------------------
     `ir <- irmi(test_df, mixed = "m", count = "co")` did not produce any warnings.
    
     Start: AIC=1386.97
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - v2 1 1367.0 1385.0
     - b 1 1367.1 1385.1
     - v1 1 1367.6 1385.6
     <none> 1367.0 1387.0
     - co 1 1369.0 1387.0
     - m 1 1369.4 1387.4
     - c 4 1379.7 1391.7
    
     Step: AIC=1385
     y ~ v1 + m + b + c + co
    
     Df Deviance AIC
     - b 1 1367.1 1383.1
     - v1 1 1367.7 1383.7
     <none> 1367.0 1385.0
     - co 1 1369.1 1385.1
     - m 1 1369.4 1385.4
     - c 4 1379.8 1389.8
    
     Step: AIC=1383.13
     y ~ v1 + m + c + co
    
     Df Deviance AIC
     - v1 1 1367.8 1381.8
     <none> 1367.1 1383.1
     - co 1 1369.2 1383.2
     - m 1 1369.5 1383.5
     - c 4 1380.1 1388.1
    
     Step: AIC=1381.83
     y ~ m + c + co
    
     Df Deviance AIC
     <none> 1367.8 1381.8
     - co 1 1369.9 1381.9
     - m 1 1370.1 1382.1
     - c 4 1381.0 1387.0
     Start: AIC=1279.5
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - b 1 1259.5 1277.5
     - v2 1 1259.7 1277.7
     - v1 1 1260.3 1278.3
     <none> 1259.5 1279.5
     - co 1 1267.7 1285.7
     - m 1 1274.0 1292.0
     - c 4 1361.1 1373.1
    
     Step: AIC=1277.5
     y ~ v1 + v2 + m + c + co
    
     Df Deviance AIC
     - v2 1 1259.7 1275.7
     - v1 1 1260.3 1276.3
     <none> 1259.5 1277.5
     - co 1 1267.7 1283.7
     - m 1 1274.0 1290.0
     - c 4 1361.2 1371.2
    
     Step: AIC=1275.7
     y ~ v1 + m + c + co
    
     Df Deviance AIC
     - v1 1 1260.5 1274.5
     <none> 1259.7 1275.7
     - co 1 1268.0 1282.0
     - m 1 1274.3 1288.3
     - c 4 1361.2 1369.2
    
     Step: AIC=1274.49
     y ~ m + c + co
    
     Df Deviance AIC
     <none> 1260.5 1274.5
     - co 1 1268.8 1280.8
     - m 1 1274.9 1286.9
     - c 4 1362.5 1368.5
     Start: AIC=1277.33
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - b 1 1257.4 1275.4
     - v2 1 1257.4 1275.4
     - v1 1 1258.4 1276.4
     <none> 1257.3 1277.3
     - co 1 1263.5 1281.5
     - m 1 1268.5 1286.5
     - c 4 1366.5 1378.5
    
     Step: AIC=1275.38
     y ~ v1 + v2 + m + c + co
    
     Df Deviance AIC
     - v2 1 1257.5 1273.5
     - v1 1 1258.4 1274.4
     <none> 1257.4 1275.4
     - co 1 1263.6 1279.6
     - m 1 1268.5 1284.5
     - c 4 1366.5 1376.5
    
     Step: AIC=1273.45
     y ~ v1 + m + c + co
    
     Df Deviance AIC
     - v1 1 1258.4 1272.4
     <none> 1257.5 1273.5
     - co 1 1263.7 1277.7
     - m 1 1268.6 1282.6
     - c 4 1366.5 1374.5
    
     Step: AIC=1272.44
     y ~ m + c + co
    
     Df Deviance AIC
     <none> 1258.4 1272.4
     - co 1 1264.7 1276.7
     - m 1 1269.4 1281.4
     - c 4 1368.2 1374.2
     Start: AIC=1274.35
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - v2 1 1254.5 1272.5
     - b 1 1254.6 1272.6
     - v1 1 1255.1 1273.1
     <none> 1254.3 1274.3
     - co 1 1259.0 1277.0
     - m 1 1263.4 1281.4
     - c 4 1369.6 1381.6
    
     Step: AIC=1272.45
     y ~ v1 + m + b + c + co
    
     Df Deviance AIC
     - b 1 1254.7 1270.7
     - v1 1 1255.1 1271.1
     <none> 1254.5 1272.5
     - co 1 1259.2 1275.2
     - m 1 1263.6 1279.6
     - c 4 1369.7 1379.7
    
     Step: AIC=1270.66
     y ~ v1 + m + c + co
    
     Df Deviance AIC
     - v1 1 1255.4 1269.4
     <none> 1254.7 1270.7
     - co 1 1259.4 1273.4
     - m 1 1263.8 1277.8
     - c 4 1370.2 1378.2
    
     Step: AIC=1269.37
     y ~ m + c + co
    
     Df Deviance AIC
     <none> 1255.4 1269.4
     - co 1 1260.1 1272.1
     - m 1 1264.3 1276.3
     - c 4 1371.4 1377.4
     Start: AIC=1263.39
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - v2 1 1243.4 1261.4
     - b 1 1243.5 1261.5
     - v1 1 1244.4 1262.4
     <none> 1243.4 1263.4
     - co 1 1246.0 1264.0
     - m 1 1249.9 1267.9
     - c 4 1371.5 1383.5
    
     Step: AIC=1261.39
     y ~ v1 + m + b + c + co
    
     Df Deviance AIC
     - b 1 1243.5 1259.5
     - v1 1 1244.4 1260.4
     <none> 1243.4 1261.4
     - co 1 1246.0 1262.0
     - m 1 1249.9 1265.9
     - c 4 1371.7 1381.7
    
     Step: AIC=1259.49
     y ~ v1 + m + c + co
    
     Df Deviance AIC
     - v1 1 1244.5 1258.5
     <none> 1243.5 1259.5
     - co 1 1246.1 1260.1
     - m 1 1250.0 1264.0
     - c 4 1372.1 1380.1
    
     Step: AIC=1258.54
     y ~ m + c + co
    
     Df Deviance AIC
     <none> 1244.5 1258.5
     - co 1 1247.2 1259.2
     - m 1 1250.9 1262.9
     - c 4 1373.5 1379.5
     Start: AIC=1252.78
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - v2 1 1232.8 1250.8
     - b 1 1233.0 1251.0
     - co 1 1233.5 1251.5
     - v1 1 1234.1 1252.1
     <none> 1232.8 1252.8
     - m 1 1237.2 1255.2
     - c 4 1371.9 1383.9
    
     Step: AIC=1250.8
     y ~ v1 + m + b + c + co
    
     Df Deviance AIC
     - b 1 1233.0 1249.0
     - co 1 1233.5 1249.5
     - v1 1 1234.1 1250.1
     <none> 1232.8 1250.8
     - m 1 1237.3 1253.3
     - c 4 1372.2 1382.2
    
     Step: AIC=1248.98
     y ~ v1 + m + c + co
    
     Df Deviance AIC
     - co 1 1233.7 1247.7
     - v1 1 1234.3 1248.3
     <none> 1233.0 1249.0
     - m 1 1237.5 1251.5
     - c 4 1372.8 1380.8
    
     Step: AIC=1247.73
     y ~ v1 + m + c
    
     Df Deviance AIC
     - v1 1 1235.1 1247.1
     <none> 1233.7 1247.7
     - m 1 1238.1 1250.1
     - c 4 1373.6 1379.6
    
     Step: AIC=1247.09
     y ~ m + c
    
     Df Deviance AIC
     <none> 1235.1 1247.1
     - m 1 1239.3 1249.3
     - c 4 1375.3 1379.3
     Start: AIC=1252.78
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - v2 1 1232.8 1250.8
     - b 1 1233.0 1251.0
     - co 1 1233.5 1251.5
     - v1 1 1234.1 1252.1
     <none> 1232.8 1252.8
     - m 1 1237.2 1255.2
     - c 4 1371.9 1383.9
    
     Step: AIC=1250.8
     y ~ v1 + m + b + c + co
    
     Df Deviance AIC
     - b 1 1233.0 1249.0
     - co 1 1233.5 1249.5
     - v1 1 1234.1 1250.1
     <none> 1232.8 1250.8
     - m 1 1237.3 1253.3
     - c 4 1372.2 1382.2
    
     Step: AIC=1248.98
     y ~ v1 + m + c + co
    
     Df Deviance AIC
     - co 1 1233.7 1247.7
     - v1 1 1234.3 1248.3
     <none> 1233.0 1249.0
     - m 1 1237.5 1251.5
     - c 4 1372.8 1380.8
    
     Step: AIC=1247.73
     y ~ v1 + m + c
    
     Df Deviance AIC
     - v1 1 1235.1 1247.1
     <none> 1233.7 1247.7
     - m 1 1238.1 1250.1
     - c 4 1373.6 1379.6
    
     Step: AIC=1247.09
     y ~ m + c
    
     Df Deviance AIC
     <none> 1235.1 1247.1
     - m 1 1239.3 1249.3
     - c 4 1375.3 1379.3
     -- 2. Failure: irmi step (@test_IRMI_ordered.R#15) ----------------------------
     `ir <- irmi(test_df, mixed = "m", count = "co", step = TRUE)` did not produce any warnings.
    
     Start: AIC=1386.97
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - v2 1 1367.0 1385.0
     - b 1 1367.1 1385.1
     - v1 1 1367.6 1385.6
     <none> 1367.0 1387.0
     - co 1 1369.0 1387.0
     - m 1 1369.4 1387.4
     - c 4 1379.7 1391.7
    
     Step: AIC=1385
     y ~ v1 + m + b + c + co
    
     Df Deviance AIC
     - b 1 1367.1 1383.1
     - v1 1 1367.7 1383.7
     <none> 1367.0 1385.0
     - co 1 1369.1 1385.1
     - m 1 1369.4 1385.4
     - c 4 1379.8 1389.8
    
     Step: AIC=1383.13
     y ~ v1 + m + c + co
    
     Df Deviance AIC
     - v1 1 1367.8 1381.8
     <none> 1367.1 1383.1
     - co 1 1369.2 1383.2
     - m 1 1369.5 1383.5
     - c 4 1380.1 1388.1
    
     Step: AIC=1381.83
     y ~ m + c + co
    
     Df Deviance AIC
     <none> 1367.8 1381.8
     - co 1 1369.9 1381.9
     - m 1 1370.1 1382.1
     - c 4 1381.0 1387.0
     Start: AIC=1279.5
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - b 1 1259.5 1277.5
     - v2 1 1259.7 1277.7
     - v1 1 1260.3 1278.3
     <none> 1259.5 1279.5
     - co 1 1267.7 1285.7
     - m 1 1274.0 1292.0
     - c 4 1361.1 1373.1
    
     Step: AIC=1277.5
     y ~ v1 + v2 + m + c + co
    
     Df Deviance AIC
     - v2 1 1259.7 1275.7
     - v1 1 1260.3 1276.3
     <none> 1259.5 1277.5
     - co 1 1267.7 1283.7
     - m 1 1274.0 1290.0
     - c 4 1361.2 1371.2
    
     Step: AIC=1275.7
     y ~ v1 + m + c + co
    
     Df Deviance AIC
     - v1 1 1260.5 1274.5
     <none> 1259.7 1275.7
     - co 1 1268.0 1282.0
     - m 1 1274.3 1288.3
     - c 4 1361.2 1369.2
    
     Step: AIC=1274.49
     y ~ m + c + co
    
     Df Deviance AIC
     <none> 1260.5 1274.5
     - co 1 1268.8 1280.8
     - m 1 1274.9 1286.9
     - c 4 1362.5 1368.5
     Start: AIC=1277.33
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - b 1 1257.4 1275.4
     - v2 1 1257.4 1275.4
     - v1 1 1258.4 1276.4
     <none> 1257.3 1277.3
     - co 1 1263.5 1281.5
     - m 1 1268.5 1286.5
     - c 4 1366.5 1378.5
    
     Step: AIC=1275.38
     y ~ v1 + v2 + m + c + co
    
     Df Deviance AIC
     - v2 1 1257.5 1273.5
     - v1 1 1258.4 1274.4
     <none> 1257.4 1275.4
     - co 1 1263.6 1279.6
     - m 1 1268.5 1284.5
     - c 4 1366.5 1376.5
    
     Step: AIC=1273.45
     y ~ v1 + m + c + co
    
     Df Deviance AIC
     - v1 1 1258.4 1272.4
     <none> 1257.5 1273.5
     - co 1 1263.7 1277.7
     - m 1 1268.6 1282.6
     - c 4 1366.5 1374.5
    
     Step: AIC=1272.44
     y ~ m + c + co
    
     Df Deviance AIC
     <none> 1258.4 1272.4
     - co 1 1264.7 1276.7
     - m 1 1269.4 1281.4
     - c 4 1368.2 1374.2
     Start: AIC=1274.35
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - v2 1 1254.5 1272.5
     - b 1 1254.6 1272.6
     - v1 1 1255.1 1273.1
     <none> 1254.3 1274.3
     - co 1 1259.0 1277.0
     - m 1 1263.4 1281.4
     - c 4 1369.6 1381.6
    
     Step: AIC=1272.45
     y ~ v1 + m + b + c + co
    
     Df Deviance AIC
     - b 1 1254.7 1270.7
     - v1 1 1255.1 1271.1
     <none> 1254.5 1272.5
     - co 1 1259.2 1275.2
     - m 1 1263.6 1279.6
     - c 4 1369.7 1379.7
    
     Step: AIC=1270.66
     y ~ v1 + m + c + co
    
     Df Deviance AIC
     - v1 1 1255.4 1269.4
     <none> 1254.7 1270.7
     - co 1 1259.4 1273.4
     - m 1 1263.8 1277.8
     - c 4 1370.2 1378.2
    
     Step: AIC=1269.37
     y ~ m + c + co
    
     Df Deviance AIC
     <none> 1255.4 1269.4
     - co 1 1260.1 1272.1
     - m 1 1264.3 1276.3
     - c 4 1371.4 1377.4
     Start: AIC=1263.39
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - v2 1 1243.4 1261.4
     - b 1 1243.5 1261.5
     - v1 1 1244.4 1262.4
     <none> 1243.4 1263.4
     - co 1 1246.0 1264.0
     - m 1 1249.9 1267.9
     - c 4 1371.5 1383.5
    
     Step: AIC=1261.39
     y ~ v1 + m + b + c + co
    
     Df Deviance AIC
     - b 1 1243.5 1259.5
     - v1 1 1244.4 1260.4
     <none> 1243.4 1261.4
     - co 1 1246.0 1262.0
     - m 1 1249.9 1265.9
     - c 4 1371.7 1381.7
    
     Step: AIC=1259.49
     y ~ v1 + m + c + co
    
     Df Deviance AIC
     - v1 1 1244.5 1258.5
     <none> 1243.5 1259.5
     - co 1 1246.1 1260.1
     - m 1 1250.0 1264.0
     - c 4 1372.1 1380.1
    
     Step: AIC=1258.54
     y ~ m + c + co
    
     Df Deviance AIC
     <none> 1244.5 1258.5
     - co 1 1247.2 1259.2
     - m 1 1250.9 1262.9
     - c 4 1373.5 1379.5
     Start: AIC=1252.78
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - v2 1 1232.8 1250.8
     - b 1 1233.0 1251.0
     - co 1 1233.5 1251.5
     - v1 1 1234.1 1252.1
     <none> 1232.8 1252.8
     - m 1 1237.2 1255.2
     - c 4 1371.9 1383.9
    
     Step: AIC=1250.8
     y ~ v1 + m + b + c + co
    
     Df Deviance AIC
     - b 1 1233.0 1249.0
     - co 1 1233.5 1249.5
     - v1 1 1234.1 1250.1
     <none> 1232.8 1250.8
     - m 1 1237.3 1253.3
     - c 4 1372.2 1382.2
    
     Step: AIC=1248.98
     y ~ v1 + m + c + co
    
     Df Deviance AIC
     - co 1 1233.7 1247.7
     - v1 1 1234.3 1248.3
     <none> 1233.0 1249.0
     - m 1 1237.5 1251.5
     - c 4 1372.8 1380.8
    
     Step: AIC=1247.73
     y ~ v1 + m + c
    
     Df Deviance AIC
     - v1 1 1235.1 1247.1
     <none> 1233.7 1247.7
     - m 1 1238.1 1250.1
     - c 4 1373.6 1379.6
    
     Step: AIC=1247.09
     y ~ m + c
    
     Df Deviance AIC
     <none> 1235.1 1247.1
     - m 1 1239.3 1249.3
     - c 4 1375.3 1379.3
     Start: AIC=1252.78
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - v2 1 1232.8 1250.8
     - b 1 1233.0 1251.0
     - co 1 1233.5 1251.5
     - v1 1 1234.1 1252.1
     <none> 1232.8 1252.8
     - m 1 1237.2 1255.2
     - c 4 1371.9 1383.9
    
     Step: AIC=1250.8
     y ~ v1 + m + b + c + co
    
     Df Deviance AIC
     - b 1 1233.0 1249.0
     - co 1 1233.5 1249.5
     - v1 1 1234.1 1250.1
     <none> 1232.8 1250.8
     - m 1 1237.3 1253.3
     - c 4 1372.2 1382.2
    
     Step: AIC=1248.98
     y ~ v1 + m + c + co
    
     Df Deviance AIC
     - co 1 1233.7 1247.7
     - v1 1 1234.3 1248.3
     <none> 1233.0 1249.0
     - m 1 1237.5 1251.5
     - c 4 1372.8 1380.8
    
     Step: AIC=1247.73
     y ~ v1 + m + c
    
     Df Deviance AIC
     - v1 1 1235.1 1247.1
     <none> 1233.7 1247.7
     - m 1 1238.1 1250.1
     - c 4 1373.6 1379.6
    
     Step: AIC=1247.09
     y ~ m + c
    
     Df Deviance AIC
     <none> 1235.1 1247.1
     - m 1 1239.3 1249.3
     - c 4 1375.3 1379.3
     -- 3. Failure: irmi step noise (@test_IRMI_ordered.R#20) ----------------------
     `ir <- irmi(test_df, mixed = "m", count = "co", step = TRUE, noise = TRUE)` did not produce any warnings.
    
     -- 4. Failure: irmi robust (@test_IRMI_ordered.R#25) --------------------------
     `ir <- irmi(test_df, robust = TRUE, mixed = "m", count = "co")` did not produce any warnings.
    
     -- 5. Failure: irmi robust noise (@test_IRMI_ordered.R#34) --------------------
     `... <- NULL` did not produce any warnings.
    
     -- 6. Failure: irmi robust noise with no imp_var (@test_IRMI_ordered.R#39) ----
     `... <- NULL` did not produce any warnings.
    
    
     Missings in variables:
     Variable Count
     NonD 14
     Dream 12
     Sleep 4
     Span 4
     Gest 4
    
     Imputed missings in variables:
     Variable Count
     NonD 14
     Dream 12
     Sleep 4
     Span 4
     Gest 4
     Time difference of 0.0156002 secs
     Time difference of 0.01559997 secs
     Time difference of 0.01559997 secs
     Time difference of 0.03119993 secs
     No missings in x.
     == testthat results ===========================================================
     [ OK: 135 | SKIPPED: 0 | WARNINGS: 0 | FAILED: 6 ]
     1. Failure: irmi base (@test_IRMI_ordered.R#10)
     2. Failure: irmi step (@test_IRMI_ordered.R#15)
     3. Failure: irmi step noise (@test_IRMI_ordered.R#20)
     4. Failure: irmi robust (@test_IRMI_ordered.R#25)
     5. Failure: irmi robust noise (@test_IRMI_ordered.R#34)
     6. Failure: irmi robust noise with no imp_var (@test_IRMI_ordered.R#39)
    
     Error: testthat unit tests failed
     Execution halted
Flavor: r-oldrel-windows-ix86+x86_64

Version: 6.0.0
Check: running tests for arch ‘x64’
Result: ERROR
     Running 'testthat.R' [31s]
    Running the tests in 'tests/testthat.R' failed.
    Complete output:
     > library(testthat)
     > library(VIM)
     Loading required package: colorspace
     Loading required package: grid
     VIM is ready to use.
    
     Suggestions and bug-reports can be submitted at: https://github.com/statistikat/VIM/issues
    
     Attaching package: 'VIM'
    
     The following object is masked from 'package:datasets':
    
     sleep
    
     > test_check("VIM")
     -- 1. Failure: irmi base (@test_IRMI_ordered.R#10) ----------------------------
     `ir <- irmi(test_df, mixed = "m", count = "co")` did not produce any warnings.
    
     Start: AIC=1373.25
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - m 1 1353.3 1371.3
     - b 1 1353.4 1371.4
     - v2 1 1354.8 1372.8
     <none> 1353.2 1373.2
     - v1 1 1355.7 1373.7
     - co 1 1360.8 1378.8
     - c 4 1376.1 1388.1
    
     Step: AIC=1371.34
     y ~ v1 + v2 + b + c + co
    
     Df Deviance AIC
     - b 1 1353.4 1369.4
     - v2 1 1354.9 1370.9
     <none> 1353.3 1371.3
     - v1 1 1355.8 1371.8
     - co 1 1360.9 1376.9
     - c 4 1376.2 1386.2
    
     Step: AIC=1369.44
     y ~ v1 + v2 + c + co
    
     Df Deviance AIC
     - v2 1 1355.0 1369.0
     <none> 1353.4 1369.4
     - v1 1 1355.9 1369.9
     - co 1 1361.0 1375.0
     - c 4 1376.2 1384.2
    
     Step: AIC=1368.99
     y ~ v1 + c + co
    
     Df Deviance AIC
     <none> 1355.0 1369.0
     - v1 1 1357.5 1369.5
     - co 1 1362.5 1374.5
     - c 4 1377.5 1383.5
     Start: AIC=1266.74
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - b 1 1246.7 1264.7
     - m 1 1246.8 1264.8
     - v2 1 1247.0 1265.0
     <none> 1246.7 1266.7
     - v1 1 1257.8 1275.8
     - co 1 1277.8 1295.8
     - c 4 1346.8 1358.8
    
     Step: AIC=1264.74
     y ~ v1 + v2 + m + c + co
    
     Df Deviance AIC
     - m 1 1246.8 1262.8
     - v2 1 1247.0 1263.0
     <none> 1246.7 1264.7
     - v1 1 1257.9 1273.9
     - co 1 1277.8 1293.8
     - c 4 1347.1 1357.1
    
     Step: AIC=1262.76
     y ~ v1 + v2 + c + co
    
     Df Deviance AIC
     - v2 1 1247.1 1261.1
     <none> 1246.8 1262.8
     - v1 1 1257.9 1271.9
     - co 1 1277.8 1291.8
     - c 4 1347.1 1355.1
    
     Step: AIC=1261.07
     y ~ v1 + c + co
    
     Df Deviance AIC
     <none> 1247.1 1261.1
     - v1 1 1258.2 1270.2
     - co 1 1278.1 1290.1
     - c 4 1347.2 1353.2
     Start: AIC=1260.04
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - m 1 1240.1 1258.1
     - b 1 1240.1 1258.1
     - v2 1 1240.2 1258.2
     <none> 1240.0 1260.0
     - v1 1 1248.1 1266.1
     - co 1 1263.0 1281.0
     - c 4 1348.6 1360.6
    
     Step: AIC=1258.08
     y ~ v1 + v2 + b + c + co
    
     Df Deviance AIC
     - b 1 1240.2 1256.2
     - v2 1 1240.2 1256.2
     <none> 1240.1 1258.1
     - v1 1 1248.1 1264.1
     - co 1 1263.0 1279.0
     - c 4 1348.6 1358.6
    
     Step: AIC=1256.15
     y ~ v1 + v2 + c + co
    
     Df Deviance AIC
     - v2 1 1240.3 1254.3
     <none> 1240.2 1256.2
     - v1 1 1248.2 1262.2
     - co 1 1263.1 1277.1
     - c 4 1349.3 1357.3
    
     Step: AIC=1254.27
     y ~ v1 + c + co
    
     Df Deviance AIC
     <none> 1240.3 1254.3
     - v1 1 1248.3 1260.3
     - co 1 1263.2 1275.2
     - c 4 1349.3 1355.3
     Start: AIC=1254.31
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - b 1 1234.4 1252.4
     - m 1 1234.7 1252.7
     - v2 1 1234.7 1252.7
     <none> 1234.3 1254.3
     - v1 1 1238.7 1256.7
     - co 1 1252.8 1270.8
     - c 4 1348.7 1360.7
    
     Step: AIC=1252.42
     y ~ v1 + v2 + m + c + co
    
     Df Deviance AIC
     - m 1 1234.8 1250.8
     - v2 1 1234.8 1250.8
     <none> 1234.4 1252.4
     - v1 1 1238.8 1254.8
     - co 1 1252.9 1268.9
     - c 4 1349.5 1359.5
    
     Step: AIC=1250.76
     y ~ v1 + v2 + c + co
    
     Df Deviance AIC
     - v2 1 1235.2 1249.2
     <none> 1234.8 1250.8
     - v1 1 1239.0 1253.0
     - co 1 1253.1 1267.1
     - c 4 1349.8 1357.8
    
     Step: AIC=1249.18
     y ~ v1 + c + co
    
     Df Deviance AIC
     <none> 1235.2 1249.2
     - v1 1 1239.5 1251.5
     - co 1 1253.5 1265.5
     - c 4 1349.9 1355.9
     Start: AIC=1251.29
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - b 1 1231.3 1249.3
     - v2 1 1231.5 1249.5
     - m 1 1231.9 1249.9
     <none> 1231.3 1251.3
     - v1 1 1235.4 1253.4
     - co 1 1243.0 1261.0
     - c 4 1348.3 1360.3
    
     Step: AIC=1249.33
     y ~ v1 + v2 + m + c + co
    
     Df Deviance AIC
     - v2 1 1231.5 1247.5
     - m 1 1232.0 1248.0
     <none> 1231.3 1249.3
     - v1 1 1235.4 1251.4
     - co 1 1243.0 1259.0
     - c 4 1348.8 1358.8
    
     Step: AIC=1247.54
     y ~ v1 + m + c + co
    
     Df Deviance AIC
     - m 1 1232.2 1246.2
     <none> 1231.5 1247.5
     - v1 1 1235.6 1249.6
     - co 1 1243.2 1257.2
     - c 4 1348.9 1356.9
    
     Step: AIC=1246.17
     y ~ v1 + c + co
    
     Df Deviance AIC
     <none> 1232.2 1246.2
     - v1 1 1236.1 1248.1
     - co 1 1243.8 1255.8
     - c 4 1349.4 1355.4
     Start: AIC=1247.61
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - b 1 1227.6 1245.6
     - v2 1 1228.0 1246.0
     - m 1 1228.0 1246.0
     <none> 1227.6 1247.6
     - v1 1 1230.2 1248.2
     - co 1 1235.3 1253.3
     - c 4 1347.6 1359.6
    
     Step: AIC=1245.61
     y ~ v1 + v2 + m + c + co
    
     Df Deviance AIC
     - v2 1 1228.0 1244.0
     - m 1 1228.0 1244.0
     <none> 1227.6 1245.6
     - v1 1 1230.2 1246.2
     - co 1 1235.3 1251.3
     - c 4 1347.8 1357.8
    
     Step: AIC=1243.99
     y ~ v1 + m + c + co
    
     Df Deviance AIC
     - m 1 1228.4 1242.4
     <none> 1228.0 1244.0
     - v1 1 1230.5 1244.5
     - co 1 1235.7 1249.7
     - c 4 1347.9 1355.9
    
     Step: AIC=1242.43
     y ~ v1 + c + co
    
     Df Deviance AIC
     <none> 1228.4 1242.4
     - v1 1 1230.9 1242.9
     - co 1 1236.0 1248.0
     - c 4 1348.2 1354.2
     Start: AIC=1245.87
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - b 1 1225.9 1243.9
     - v2 1 1226.5 1244.5
     - m 1 1226.5 1244.5
     - v1 1 1227.7 1245.7
     <none> 1225.9 1245.9
     - co 1 1231.2 1249.2
     - c 4 1347.3 1359.3
    
     Step: AIC=1243.88
     y ~ v1 + v2 + m + c + co
    
     Df Deviance AIC
     - v2 1 1226.5 1242.5
     - m 1 1226.6 1242.6
     - v1 1 1227.7 1243.7
     <none> 1225.9 1243.9
     - co 1 1231.2 1247.2
     - c 4 1347.5 1357.5
    
     Step: AIC=1242.54
     y ~ v1 + m + c + co
    
     Df Deviance AIC
     - m 1 1227.3 1241.3
     - v1 1 1228.4 1242.4
     <none> 1226.5 1242.5
     - co 1 1231.9 1245.9
     - c 4 1347.7 1355.7
    
     Step: AIC=1241.26
     y ~ v1 + c + co
    
     Df Deviance AIC
     - v1 1 1229.0 1241.0
     <none> 1227.3 1241.3
     - co 1 1232.5 1244.5
     - c 4 1348.2 1354.2
    
     Step: AIC=1241.04
     y ~ c + co
    
     Df Deviance AIC
     <none> 1229.0 1241.0
     - co 1 1234.5 1244.5
     - c 4 1349.7 1353.7
     -- 2. Failure: irmi step (@test_IRMI_ordered.R#15) ----------------------------
     `ir <- irmi(test_df, mixed = "m", count = "co", step = TRUE)` did not produce any warnings.
    
     Start: AIC=1373.25
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - m 1 1353.3 1371.3
     - b 1 1353.4 1371.4
     - v2 1 1354.8 1372.8
     <none> 1353.2 1373.2
     - v1 1 1355.7 1373.7
     - co 1 1360.8 1378.8
     - c 4 1376.1 1388.1
    
     Step: AIC=1371.34
     y ~ v1 + v2 + b + c + co
    
     Df Deviance AIC
     - b 1 1353.4 1369.4
     - v2 1 1354.9 1370.9
     <none> 1353.3 1371.3
     - v1 1 1355.8 1371.8
     - co 1 1360.9 1376.9
     - c 4 1376.2 1386.2
    
     Step: AIC=1369.44
     y ~ v1 + v2 + c + co
    
     Df Deviance AIC
     - v2 1 1355.0 1369.0
     <none> 1353.4 1369.4
     - v1 1 1355.9 1369.9
     - co 1 1361.0 1375.0
     - c 4 1376.2 1384.2
    
     Step: AIC=1368.99
     y ~ v1 + c + co
    
     Df Deviance AIC
     <none> 1355.0 1369.0
     - v1 1 1357.5 1369.5
     - co 1 1362.5 1374.5
     - c 4 1377.5 1383.5
     Start: AIC=1266.74
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - b 1 1246.7 1264.7
     - m 1 1246.8 1264.8
     - v2 1 1247.0 1265.0
     <none> 1246.7 1266.7
     - v1 1 1257.8 1275.8
     - co 1 1277.8 1295.8
     - c 4 1346.8 1358.8
    
     Step: AIC=1264.74
     y ~ v1 + v2 + m + c + co
    
     Df Deviance AIC
     - m 1 1246.8 1262.8
     - v2 1 1247.0 1263.0
     <none> 1246.7 1264.7
     - v1 1 1257.9 1273.9
     - co 1 1277.8 1293.8
     - c 4 1347.1 1357.1
    
     Step: AIC=1262.76
     y ~ v1 + v2 + c + co
    
     Df Deviance AIC
     - v2 1 1247.1 1261.1
     <none> 1246.8 1262.8
     - v1 1 1257.9 1271.9
     - co 1 1277.8 1291.8
     - c 4 1347.1 1355.1
    
     Step: AIC=1261.07
     y ~ v1 + c + co
    
     Df Deviance AIC
     <none> 1247.1 1261.1
     - v1 1 1258.2 1270.2
     - co 1 1278.1 1290.1
     - c 4 1347.2 1353.2
     Start: AIC=1260.04
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - m 1 1240.1 1258.1
     - b 1 1240.1 1258.1
     - v2 1 1240.2 1258.2
     <none> 1240.0 1260.0
     - v1 1 1248.1 1266.1
     - co 1 1263.0 1281.0
     - c 4 1348.6 1360.6
    
     Step: AIC=1258.08
     y ~ v1 + v2 + b + c + co
    
     Df Deviance AIC
     - b 1 1240.2 1256.2
     - v2 1 1240.2 1256.2
     <none> 1240.1 1258.1
     - v1 1 1248.1 1264.1
     - co 1 1263.0 1279.0
     - c 4 1348.6 1358.6
    
     Step: AIC=1256.15
     y ~ v1 + v2 + c + co
    
     Df Deviance AIC
     - v2 1 1240.3 1254.3
     <none> 1240.2 1256.2
     - v1 1 1248.2 1262.2
     - co 1 1263.1 1277.1
     - c 4 1349.3 1357.3
    
     Step: AIC=1254.27
     y ~ v1 + c + co
    
     Df Deviance AIC
     <none> 1240.3 1254.3
     - v1 1 1248.3 1260.3
     - co 1 1263.2 1275.2
     - c 4 1349.3 1355.3
     Start: AIC=1254.31
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - b 1 1234.4 1252.4
     - m 1 1234.7 1252.7
     - v2 1 1234.7 1252.7
     <none> 1234.3 1254.3
     - v1 1 1238.7 1256.7
     - co 1 1252.8 1270.8
     - c 4 1348.7 1360.7
    
     Step: AIC=1252.42
     y ~ v1 + v2 + m + c + co
    
     Df Deviance AIC
     - m 1 1234.8 1250.8
     - v2 1 1234.8 1250.8
     <none> 1234.4 1252.4
     - v1 1 1238.8 1254.8
     - co 1 1252.9 1268.9
     - c 4 1349.5 1359.5
    
     Step: AIC=1250.76
     y ~ v1 + v2 + c + co
    
     Df Deviance AIC
     - v2 1 1235.2 1249.2
     <none> 1234.8 1250.8
     - v1 1 1239.0 1253.0
     - co 1 1253.1 1267.1
     - c 4 1349.8 1357.8
    
     Step: AIC=1249.18
     y ~ v1 + c + co
    
     Df Deviance AIC
     <none> 1235.2 1249.2
     - v1 1 1239.5 1251.5
     - co 1 1253.5 1265.5
     - c 4 1349.9 1355.9
     Start: AIC=1251.29
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - b 1 1231.3 1249.3
     - v2 1 1231.5 1249.5
     - m 1 1231.9 1249.9
     <none> 1231.3 1251.3
     - v1 1 1235.4 1253.4
     - co 1 1243.0 1261.0
     - c 4 1348.3 1360.3
    
     Step: AIC=1249.33
     y ~ v1 + v2 + m + c + co
    
     Df Deviance AIC
     - v2 1 1231.5 1247.5
     - m 1 1232.0 1248.0
     <none> 1231.3 1249.3
     - v1 1 1235.4 1251.4
     - co 1 1243.0 1259.0
     - c 4 1348.8 1358.8
    
     Step: AIC=1247.54
     y ~ v1 + m + c + co
    
     Df Deviance AIC
     - m 1 1232.2 1246.2
     <none> 1231.5 1247.5
     - v1 1 1235.6 1249.6
     - co 1 1243.2 1257.2
     - c 4 1348.9 1356.9
    
     Step: AIC=1246.17
     y ~ v1 + c + co
    
     Df Deviance AIC
     <none> 1232.2 1246.2
     - v1 1 1236.1 1248.1
     - co 1 1243.8 1255.8
     - c 4 1349.4 1355.4
     Start: AIC=1247.61
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - b 1 1227.6 1245.6
     - v2 1 1228.0 1246.0
     - m 1 1228.0 1246.0
     <none> 1227.6 1247.6
     - v1 1 1230.2 1248.2
     - co 1 1235.3 1253.3
     - c 4 1347.6 1359.6
    
     Step: AIC=1245.61
     y ~ v1 + v2 + m + c + co
    
     Df Deviance AIC
     - v2 1 1228.0 1244.0
     - m 1 1228.0 1244.0
     <none> 1227.6 1245.6
     - v1 1 1230.2 1246.2
     - co 1 1235.3 1251.3
     - c 4 1347.8 1357.8
    
     Step: AIC=1243.99
     y ~ v1 + m + c + co
    
     Df Deviance AIC
     - m 1 1228.4 1242.4
     <none> 1228.0 1244.0
     - v1 1 1230.5 1244.5
     - co 1 1235.7 1249.7
     - c 4 1347.9 1355.9
    
     Step: AIC=1242.43
     y ~ v1 + c + co
    
     Df Deviance AIC
     <none> 1228.4 1242.4
     - v1 1 1230.9 1242.9
     - co 1 1236.0 1248.0
     - c 4 1348.2 1354.2
     Start: AIC=1245.87
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - b 1 1225.9 1243.9
     - v2 1 1226.5 1244.5
     - m 1 1226.5 1244.5
     - v1 1 1227.7 1245.7
     <none> 1225.9 1245.9
     - co 1 1231.2 1249.2
     - c 4 1347.3 1359.3
    
     Step: AIC=1243.88
     y ~ v1 + v2 + m + c + co
    
     Df Deviance AIC
     - v2 1 1226.5 1242.5
     - m 1 1226.6 1242.6
     - v1 1 1227.7 1243.7
     <none> 1225.9 1243.9
     - co 1 1231.2 1247.2
     - c 4 1347.5 1357.5
    
     Step: AIC=1242.54
     y ~ v1 + m + c + co
    
     Df Deviance AIC
     - m 1 1227.3 1241.3
     - v1 1 1228.4 1242.4
     <none> 1226.5 1242.5
     - co 1 1231.9 1245.9
     - c 4 1347.7 1355.7
    
     Step: AIC=1241.26
     y ~ v1 + c + co
    
     Df Deviance AIC
     - v1 1 1229.0 1241.0
     <none> 1227.3 1241.3
     - co 1 1232.5 1244.5
     - c 4 1348.2 1354.2
    
     Step: AIC=1241.04
     y ~ c + co
    
     Df Deviance AIC
     <none> 1229.0 1241.0
     - co 1 1234.5 1244.5
     - c 4 1349.7 1353.7
     -- 3. Failure: irmi step noise (@test_IRMI_ordered.R#20) ----------------------
     `ir <- irmi(test_df, mixed = "m", count = "co", step = TRUE, noise = TRUE)` did not produce any warnings.
    
     -- 4. Failure: irmi robust (@test_IRMI_ordered.R#25) --------------------------
     `ir <- irmi(test_df, robust = TRUE, mixed = "m", count = "co")` did not produce any warnings.
    
     -- 5. Failure: irmi robust noise (@test_IRMI_ordered.R#34) --------------------
     `... <- NULL` did not produce any warnings.
    
     -- 6. Failure: irmi robust noise with no imp_var (@test_IRMI_ordered.R#39) ----
     `... <- NULL` did not produce any warnings.
    
    
     Missings in variables:
     Variable Count
     NonD 14
     Dream 12
     Sleep 4
     Span 4
     Gest 4
    
     Imputed missings in variables:
     Variable Count
     NonD 14
     Dream 12
     Sleep 4
     Span 4
     Gest 4
     Time difference of 0.03120017 secs
     Time difference of 0.03119993 secs
     Time difference of 0.03119993 secs
     Time difference of 0.03119993 secs
     No missings in x.
     == testthat results ===========================================================
     [ OK: 135 | SKIPPED: 0 | WARNINGS: 0 | FAILED: 6 ]
     1. Failure: irmi base (@test_IRMI_ordered.R#10)
     2. Failure: irmi step (@test_IRMI_ordered.R#15)
     3. Failure: irmi step noise (@test_IRMI_ordered.R#20)
     4. Failure: irmi robust (@test_IRMI_ordered.R#25)
     5. Failure: irmi robust noise (@test_IRMI_ordered.R#34)
     6. Failure: irmi robust noise with no imp_var (@test_IRMI_ordered.R#39)
    
     Error: testthat unit tests failed
     Execution halted
Flavor: r-oldrel-windows-ix86+x86_64