Last updated on 2018-09-26 01:46:31 CEST.
Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
---|---|---|---|---|---|---|
r-devel-linux-x86_64-debian-clang | 3.10.8 | 12.58 | 147.74 | 160.32 | ERROR | |
r-devel-linux-x86_64-debian-gcc | 3.10.8 | 10.02 | 114.10 | 124.12 | ERROR | |
r-devel-linux-x86_64-fedora-clang | 3.10.8 | 204.85 | OK | |||
r-devel-linux-x86_64-fedora-gcc | 3.10.8 | 200.04 | OK | |||
r-devel-windows-ix86+x86_64 | 3.10.8 | 26.00 | 190.00 | 216.00 | OK | |
r-patched-linux-x86_64 | 3.10.8 | 13.10 | 146.39 | 159.49 | ERROR | |
r-patched-solaris-x86 | 3.10.8 | 207.40 | OK | |||
r-release-linux-x86_64 | 3.10.8 | 12.01 | 146.25 | 158.26 | ERROR | |
r-release-windows-ix86+x86_64 | 3.10.8 | 20.00 | 202.00 | 222.00 | OK | |
r-release-osx-x86_64 | 3.10.8 | OK | ||||
r-oldrel-windows-ix86+x86_64 | 3.10.8 | 15.00 | 140.00 | 155.00 | OK | |
r-oldrel-osx-x86_64 | 3.10.8 | OK |
Version: 3.10.8
Check: examples
Result: ERROR
Running examples in ‘MARSS-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: augment.marssMLE
> ### Title: Return the model predicted values, residuals, and optionally
> ### confidence intervals
> ### Aliases: augment.marssMLE augment_dfa augment_marss augmentmarxss
>
> ### ** Examples
>
> dat <- t(harborSeal)
> dat <- dat[c(2,11,12),]
> MLEobj <- MARSS(dat, model=list(Z=factor(c("WA","OR","OR"))))
Success! abstol and log-log tests passed at 37 iterations.
Alert: conv.test.slope.tol is 0.5.
Test with smaller values (<0.1) to ensure convergence.
MARSS fit is
Estimation method: kem
Convergence test: conv.test.slope.tol = 0.5, abstol = 0.001
Estimation converged in 37 iterations.
Log-likelihood: 13.72233
AIC: -11.44465 AICc: -8.918339
Estimate
A.OR.SouthCoast 0.49280
R.diag 0.02509
U.WA 0.06171
U.OR 0.03686
Q.(WA,WA) 0.01082
Q.(OR,OR) 0.00439
x0.WA 7.41712
x0.OR 6.56460
Initial states (x0) defined at t=0
Standard errors have not been calculated.
Use MARSSparamCIs to compute CIs and bias estimates.
>
> library(broom)
> library(ggplot2)
> theme_set(theme_bw())
>
> # Make a plot of the observations and model fits
> d <- augment(MLEobj, interval="confidence")
Error: No augment method for objects of class marssMLE
Execution halted
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-patched-linux-x86_64, r-release-linux-x86_64