Generalized factor model for ultra-high dimensional variables with mixed types. We develop a two-step iterative procedure so that each update can be carried out in parallel across all variables and samples. The fast computation version is provided for ultra-high dimensional data, see examples for more details. More details can be referred to Wei Liu, Huazhen Lin, Shurong Zheng and Jin Liu. (2021) <doi:10.1080/01621459.2021.1999818>.
Version: | 1.1.0 |
Depends: | doSNOW, parallel, R (≥ 3.5.0) |
Imports: | MASS, stats |
Suggests: | knitr, rmarkdown |
Published: | 2022-01-05 |
Author: | Wei Liu [aut, cre], Huazhen Lin [aut], Shurong Zheng [aut], Jin Liu [aut] |
Maintainer: | Wei Liu <weiliu at smail.swufe.edu.cn> |
BugReports: | https://github.com/feiyoung/GFM/issues |
License: | GPL-3 |
URL: | https://github.com/feiyoung/GFM |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | GFM results |
Reference manual: | GFM.pdf |
Vignettes: |
GFM: A Simple Transcriptomics Data GFM: installation and simulated example GFM |
Package source: | GFM_1.1.0.tar.gz |
Windows binaries: | r-devel: GFM_1.1.0.zip, r-release: GFM_1.1.0.zip, r-oldrel: GFM_1.1.0.zip |
macOS binaries: | r-release (arm64): GFM_1.1.0.tgz, r-oldrel (arm64): GFM_1.1.0.tgz, r-release (x86_64): GFM_1.1.0.tgz, r-oldrel (x86_64): GFM_1.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=GFM to link to this page.