The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

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: 10.32614/CRAN.package.MCCM
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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=MCCM to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.