Package: MCCM 0.1.0

MCCM: Mixed Correlation Coefficient Matrix

The IRLS (Iteratively Reweighted Least Squares) and GMM (Generalized Method of Moments) methods are applied to estimate mixed correlation coefficient matrix (Pearson, Polyseries, Polychoric), which can be estimated in pairs or simultaneously. For more information see Peng Zhang and Ben Liu (2024) <doi:10.1080/10618600.2023.2257251>; Ben Liu and Peng Zhang (2024) <doi:10.48550/arXiv.2404.06781>.

Authors:Ben Liu [aut, cre], Peng Zhang [ths], Xiaowei Lou [aut, dtc]

MCCM_0.1.0.tar.gz
MCCM_0.1.0.zip(r-4.7-any)MCCM_0.1.0.zip(r-4.6-any)MCCM_0.1.0.zip(r-4.5-any)
MCCM_0.1.0.tgz(r-4.6-any)MCCM_0.1.0.tgz(r-4.5-any)
MCCM_0.1.0.tar.gz(r-4.7-any)MCCM_0.1.0.tar.gz(r-4.6-any)
MCCM_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
MCCM/json (API)

# Install 'MCCM' in R:
install.packages('MCCM', repos = c('https://encoreus.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 218 downloads 17 exports 11 dependencies

Last updated from:14f74004d6. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK130
source / vignettesOK165
linux-release-x86_64OK118
macos-release-arm64OK177
macos-oldrel-arm64OK130
windows-develOK82
windows-releaseOK89
windows-oldrelOK91
wasm-releaseOK135

Exports:dphixydraw_correlation_matrixest_mixedGMMest_threesti_polychoricesti_polyserialgen_CCMgen_mixedgen_polychoricgen_polyseriesgen_rhombMCCM_estmrbPhixyrmsesummary_MCCM_est

Dependencies:admisclatticelavaanMASSMatrixmnormtmvtnormnumDerivpbivnormpolycorquadprog