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>.

Version: 0.1.0
Depends: R (≥ 3.5.0)
Imports: MASS, polycor, lavaan, mvtnorm
Suggests: knitr, rmarkdown
Published: 2024-04-18
DOI: NA
Author: Ben Liu [aut, cre], Peng Zhang [ths], Xiaowei Lou [aut, dtc]
Maintainer: Ben Liu <12035024 at zju.edu.cn>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: no
CRAN checks: MCCM results

Documentation:

Reference manual: MCCM.pdf

Downloads:

Package source: MCCM_0.1.0.tar.gz
Windows binaries: r-devel: MCCM_0.1.0.zip, r-release: MCCM_0.1.0.zip, r-oldrel: MCCM_0.1.0.zip
macOS binaries: r-release (arm64): MCCM_0.1.0.tgz, r-oldrel (arm64): MCCM_0.1.0.tgz, r-release (x86_64): MCCM_0.1.0.tgz, r-oldrel (x86_64): MCCM_0.1.0.tgz

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