Package: fmerPack 0.0-1
fmerPack: Tools of Heterogeneity Pursuit via Finite Mixture Effects Model
Heterogeneity pursuit methodologies for regularized finite mixture regression by effects-model formulation proposed by Li et al. (2021) <arxiv:2003.04787>.
Authors:
fmerPack_0.0-1.tar.gz
fmerPack_0.0-1.tar.gz(r-4.5-noble)fmerPack_0.0-1.tar.gz(r-4.4-noble)
fmerPack_0.0-1.tgz(r-4.4-emscripten)fmerPack_0.0-1.tgz(r-4.3-emscripten)
fmerPack.pdf |fmerPack.html✨
fmerPack/json (API)
# Install 'fmerPack' in R: |
install.packages('fmerPack', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 4 years agofrom:afba4f2172. Checks:OK: 1 NOTE: 1. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 21 2024 |
R-4.5-linux-x86_64 | NOTE | Nov 21 2024 |
Exports:fmrHPfmrRegpath.fmrHPpath.fmrRegselect.tuning
Dependencies:abindcodetoolsflexmixforeachglmnetiteratorslatticeMASSMatrixmodeltoolsnnetRcppRcppArmadilloRcppEigenshapesurvival
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Finite Mixture Effects Model with Heterogeneity Pursuit | fmrHP |
Finite Mixture Model with lasso and adaptive penalty | fmrReg |
Finite Mixture Effects Model with Heterogeneity Pursuit | path.fmrHP |
Finite Mixture Model with lasso and adaptive penalty | path.fmrReg |
Tuning paramater selection | select.tuning |