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: polycor_0.7-10.tgz, r-oldrel: polycor_0.7-10.tgz |
Old sources: | polycor archive |
Reverse depends: | DandEFA, itemanalysis, klausuR, ltm, mdsdt |
Reverse imports: | CCTpack, CDM, cSEM, EFA.dimensions, fakeR, radiant.basics, radiant.design, radiant.multivariate, stablespec, umx |
Reverse suggests: | aspect, BFpack, correlation, lava, lsasim, sem, sgr |
Reverse enhances: | sfsmisc |
Please use the canonical form https://CRAN.R-project.org/package=polycor to link to this page.