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:
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 6 years agofrom:f3390afc8d. Checks:OK: 1 NOTE: 1. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 08 2024 |
R-4.5-linux | NOTE | Dec 08 2024 |
Exports:coef.glmcdeviance.glmceffects.glmcel.CSWel.owenfamily.glmcfitted.glmcglmcglmc.controlglmc.getXlevelsglmc.inner2print.summary.glmcresiduals.glmcsummary.glmc
Dependencies:empliklatticeMASSMatrixMatrixModelsquantregSparseMsurvival
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Fitting Generalized Linear Models Subject to Constraints | glmc-package |
Fitting Generalised Linear Models Subject to Population Constraints | glmc |
Auxiliary for Controlling GLM Fitting with population level constraints. | glmc.control |
Accessing objects in glmc Fits | coef.glmc deviance.glmc effects.glmc family.glmc fitted.glmc residuals.glmc weights.default |
Summarizing Generalized Linear Model Fits | print.summary.glmc summary.glmc |