The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
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[@]dogado.de.
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 |
| 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 |
| Reference manual: | MCCM.pdf |
| 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 |
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.
Health stats visible at Monitor.