Package: CMGFM 1.1

Wei Liu

CMGFM: Covariate-Augumented Generalized Factor Model

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.

Authors:Wei Liu [aut, cre], Jiakun Jiang [aut], Dewei Xiang [aut], Xuancheng Zhou [aut]

CMGFM_1.1.tar.gz
CMGFM_1.1.tar.gz(r-4.7-arm64)CMGFM_1.1.tar.gz(r-4.7-x86_64)CMGFM_1.1.tar.gz(r-4.6-arm64)CMGFM_1.1.tar.gz(r-4.6-x86_64)
CMGFM_1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
CMGFM/json (API)

# Install 'CMGFM' in R:
install.packages('CMGFM', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/feiyoung/cmgfm/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

openblascppopenmp

2.70 score 585 downloads 3 exports 12 dependencies

Last updated from:92b717acc0. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK179
linux-devel-x86_64OK150
source / vignettesOK210
linux-release-arm64OK147
linux-release-x86_64OK149
wasm-releaseOK118

Exports:CMGFMgendata_cmgfmMSVR

Dependencies:codetoolsdoSNOWforeachGFMirlbaiteratorslatticeMASSMatrixRcppRcppArmadillosnow

CMGFM: simulation

Wei Liu

Rendered fromsimu.Rmdusingknitr::rmarkdownon May 26 2026.

Last update: 2024-06-26
Started: 2024-06-26