coin: Conditional Inference Procedures in a Permutation Test Framework

Conditional inference procedures for the general independence problem including two-sample, K-sample (non-parametric ANOVA), correlation, censored, ordered and multivariate problems described in <doi:10.18637/jss.v028.i08>.

Version: 1.4-2
Depends: R (≥ 3.6.0), survival
Imports: methods, parallel, stats, stats4, utils, libcoin (≥ 1.0-9), matrixStats (≥ 0.54.0), modeltools (≥ 0.2-9), mvtnorm (≥ 1.0-5), multcomp
LinkingTo: libcoin (≥ 1.0-9)
Suggests: xtable, e1071, vcd, (≥ 1.0-7)
Published: 2021-10-08
Author: Torsten Hothorn ORCID iD [aut, cre], Henric Winell ORCID iD [aut], Kurt Hornik ORCID iD [aut], Mark A. van de Wiel ORCID iD [aut], Achim Zeileis ORCID iD [aut]
Maintainer: Torsten Hothorn <Torsten.Hothorn at>
License: GPL-2
NeedsCompilation: yes
Citation: coin citation info
Materials: NEWS
In views: ClinicalTrials, Survival
CRAN checks: coin results


Reference manual: coin.pdf
Vignettes: Implementing a Class of Permutation Tests: The coin Package
A Lego System for Conditional Inference
Order-restricted Scores Test
coin: A Computational Framework for Conditional Inference


Package source: coin_1.4-2.tar.gz
Windows binaries: r-devel:, r-devel-UCRT:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): coin_1.4-2.tgz, r-release (x86_64): coin_1.4-2.tgz, r-oldrel: coin_1.4-2.tgz
Old sources: coin archive

Reverse dependencies:

Reverse depends: asht, kaps, pairwiseCI, pAnalysis, RcmdrPlugin.coin, uplift
Reverse imports: Coinprofile, DCA, DGM, easier, glycanr, GmAMisc, hipathia, infercnv, lefser, matchMulti, microbiomeMarker, MicrobiotaProcess, MKpower, mrMLM, mrMLM.GUI, NADA2, nlnet, NPC, NSM3, party, permGS, rankdifferencetest, rankFD, rcompanion, shotGroups, StratifiedMedicine, wcep, wrappedtools
Reverse suggests: afex, agridat, arsenal, choplump, DeclareDesign, DiscreteQvalue, ggparty, gMCP, HSAUR, HSAUR2, HSAUR3, interval, jmuOutlier, libcoin, mdir.logrank, mlt.docreg, multcomp, partykit, perm, rstatix, sjstats,, tram, tramnet, trtf, UsingR, vcd, wrMisc


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