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Covariate-augumented generalized factor model is designed to account for cross-modal heterogeneity, capture nonlinear dependencies among the data, incorporate additional information, and provide excellent interpretability while maintaining high computational efficiency.
| Version: | 1.1 |
| Depends: | irlba, R (≥ 3.5.0) |
| Imports: | MASS, stats, GFM, Rcpp (≥ 1.0.10) |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | knitr, rmarkdown |
| Published: | 2024-06-25 |
| DOI: | 10.32614/CRAN.package.CMGFM |
| Author: | Wei Liu [aut, cre], Jiakun Jiang [aut], Dewei Xiang [aut], Xuancheng Zhou [aut] |
| Maintainer: | Wei Liu <LiuWeideng at gmail.com> |
| BugReports: | https://github.com/feiyoung/CMGFM/issues |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| Materials: | README |
| CRAN checks: | CMGFM results |
| Reference manual: | CMGFM.pdf |
| Vignettes: |
CMGFM: simulation |
| Package source: | CMGFM_1.1.tar.gz |
| Windows binaries: | r-devel: CMGFM_1.1.zip, r-release: CMGFM_1.1.zip, r-oldrel: CMGFM_1.1.zip |
| macOS binaries: | r-release (arm64): CMGFM_1.1.tgz, r-oldrel (arm64): CMGFM_1.1.tgz, r-release (x86_64): CMGFM_1.1.tgz, r-oldrel (x86_64): CMGFM_1.1.tgz |
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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.
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