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-4.5-noble)CMGFM_1.1.tar.gz(r-4.4-noble)
CMGFM_1.1.tgz(r-4.4-emscripten)CMGFM_1.1.tgz(r-4.3-emscripten)
CMGFM.pdf |CMGFM.html✨
CMGFM/json (API)

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

Peer review:

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

3 exports 2.70 score 12 dependencies 529 downloads

Last updated 3 months agofrom:92b717acc0. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKSep 24 2024
R-4.5-linux-x86_64OKSep 24 2024

Exports:CMGFMgendata_cmgfmMSVR

Dependencies:codetoolsdoSNOWforeachGFMirlbaiteratorslatticeMASSMatrixRcppRcppArmadillosnow

CMGFM: simulation

Wei Liu

Rendered fromsimu.Rmdusingknitr::rmarkdownon Sep 24 2024.

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