RUnit: R Unit Test Framework

R functions implementing a standard Unit Testing framework, with additional code inspection and report generation tools.

Version: 0.4.32
Depends: R (≥ 2.5.0), utils (≥ 2.5.0), methods (≥ 2.5.0), graphics (≥ 2.5.0)
Suggests: XML (≥ 3.1.0)
Published: 2018-05-18
Author: Matthias Burger, Klaus Juenemann, Thomas Koenig
Maintainer: Roman Zenka <zenka.roman at>
License: GPL-2
NeedsCompilation: no
Materials: README NEWS ChangeLog
CRAN checks: RUnit results


Reference manual: RUnit.pdf
Vignettes: RUnit primer
Package source: RUnit_0.4.32.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: RUnit_0.4.32.tgz, r-oldrel: RUnit_0.4.32.tgz
Old sources: RUnit archive

Reverse dependencies:

Reverse depends: discrimARTs, DistributionUtils, FKF, futile.paradigm, permGPU, rkafka, SkewHyperbolic, SoilR, VarianceGamma
Reverse imports: BLCOP, geno2proteo, haploR, kutils, ldamatch, rkafkajars, runittotestthat
Reverse suggests: alphastable, aop, aucm, bbmle, cccp, ChainLadder, chngpt, classyfire, cleanr, climdex.pcic, ClimDown, clusterCrit, cmaes, CodeDepends, document, doSNOW, emoa, fakemake, fAsianOptions, fAssets, fastdigest, fBasics, fBonds, fCopulae, FeatureHashing, fExoticOptions, fExtremes, fGarch, fImport, fingerprint, fMultivar, fNonlinear, fOptions, fRegression, fTrading, fUnitRoots, gbm, gdata, GeneralizedHyperbolic, glarma, gMCP, HistogramTools, hypergea, iterators, JuniperKernel, krm, kyotil, lhs, lisp, logitnorm, matrixpls, mcr, mdw, MetaIntegrator, NanoStringNorm, nanotime, nCal, ncdf4.helpers, nlcv, NMF, NMOF, NormalLaplace, nplr, NutrienTrackeR, orgutils, PCICt, pdmod, pkgmaker, prc, protViz, qmrparser, Rblpapi, rcdk, Rcpp, RcppAnnoy, RcppArmadillo, RcppBlaze, RcppClassic, RcppClassicExamples, RcppEigen, RcppExamples, RcppGSL, RcppHoney, RcppParallel, RcppRedis, RecordLinkage, restfulr, RMongo, rngtools, RobAStBase, robustrank, RProtoBuf, RQuantLib, rredis, rsolr, rstan, rstpm2, simcausal, sp23design, spatialprobit, spcosa, sptm, stabledist, survClip, timeDate, timeSeries, TKF, tmlenet, TTR, WeightedCluster, XLConnect, Xmisc, xts
Reverse enhances: doMC, doParallel, foreach


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