polycor: Polychoric and Polyserial Correlations

Computes polychoric and polyserial correlations by quick "two-step" methods or ML, optionally with standard errors; tetrachoric and biserial correlations are special cases.

Version: 0.7-10
Depends: R (≥ 3.3.0)
Imports: stats, mvtnorm, Matrix
Published: 2019-08-05
Author: John Fox [aut, cre]
Maintainer: John Fox <jfox at mcmaster.ca>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://r-forge.r-project.org/projects/polycor/, https://CRAN.R-project.org/package=polycor
NeedsCompilation: no
Materials: NEWS
In views: Multivariate, Psychometrics
CRAN checks: polycor results


Reference manual: polycor.pdf
Package source: polycor_0.7-10.tar.gz
Windows binaries: r-devel: polycor_0.7-10.zip, r-release: polycor_0.7-10.zip, r-oldrel: polycor_0.7-10.zip
macOS binaries: r-release (arm64): polycor_0.7-10.tgz, r-release (x86_64): polycor_0.7-10.tgz, r-oldrel: polycor_0.7-10.tgz
Old sources: polycor archive

Reverse dependencies:

Reverse depends: DandEFA, FactorCopula, itemanalysis, klausuR, ltm, mdsdt
Reverse imports: CCTpack, CDM, cSEM, EFA.dimensions, fakeR, lsasim, MultBiplotR, radiant.basics, radiant.design, radiant.multivariate, stablespec, umx
Reverse suggests: aspect, BFpack, correlation, lava, sem, sgr
Reverse enhances: sfsmisc


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