Package: glmc 0.3-1

Sanjay Chaudhuri

glmc: Fitting Generalized Linear Models Subject to Constraints

Fits generalized linear models where the parameters are subject to linear constraints. The model is specified by giving a symbolic description of the linear predictor, a description of the error distribution, and a matrix of constraints on the parameters.

Authors:Sanjay Chaudhuri [aut, cre], Mark S. Handcock [aut], Michael S. Rendall [ctb]

glmc_0.3-1.tar.gz
glmc_0.3-1.tar.gz(r-4.5-noble)glmc_0.3-1.tar.gz(r-4.4-noble)
glmc_0.3-1.tgz(r-4.4-emscripten)glmc_0.3-1.tgz(r-4.3-emscripten)
glmc.pdf |glmc.html✨
glmc/json (API)

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

Peer review:

Datasets:

    This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

    1.30 score 1 stars 20 scripts 194 downloads 14 exports 8 dependencies

    Last updated 6 years agofrom:f3390afc8d. Checks:OK: 1 NOTE: 1. Indexed: yes.

    TargetResultDate
    Doc / VignettesOKNov 08 2024
    R-4.5-linuxNOTENov 08 2024

    Exports:coef.glmcdeviance.glmceffects.glmcel.CSWel.owenfamily.glmcfitted.glmcglmcglmc.controlglmc.getXlevelsglmc.inner2print.summary.glmcresiduals.glmcsummary.glmc

    Dependencies:empliklatticeMASSMatrixMatrixModelsquantregSparseMsurvival