languageR: Analyzing Linguistic Data: A Practical Introduction to Statistics

Data sets exemplifying statistical methods, and some facilitatory utility functions used in “Analyzing Linguistic Data: A practical introduction to statistics using R”, Cambridge University Press, 2008.

Version: 1.5.0
Depends: R (≥ 3.0.2)
Imports: methods
Suggests: cluster, e1071, rms, Hmisc, MASS, rpart, lattice, zipfR, lme4, multcomp, lmerTest, optimx
Published: 2019-01-30
Author: R. H. Baayen, Elnaz Shafaei-Bajestan
Maintainer: R. H. Baayen <harald.baayen at uni-tuebingen.de>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
In views: MixedModels, NaturalLanguageProcessing
CRAN checks: languageR results

Documentation:

Reference manual: languageR.pdf

Downloads:

Package source: languageR_1.5.0.tar.gz
Windows binaries: r-devel: languageR_1.5.0.zip, r-release: languageR_1.5.0.zip, r-oldrel: languageR_1.5.0.zip
macOS binaries: r-release (arm64): languageR_1.5.0.tgz, r-oldrel (arm64): languageR_1.5.0.tgz, r-release (x86_64): languageR_1.5.0.tgz
Old sources: languageR archive

Reverse dependencies:

Reverse suggests: BayesFactor, OutliersO3

Linking:

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