Package: holiglm 1.0.1

holiglm: Holistic Generalized Linear Models

Holistic generalized linear models (HGLMs) extend generalized linear models (GLMs) by enabling the possibility to add further constraints to the model. The 'holiglm' package simplifies estimating HGLMs using convex optimization. Additional information about the package can be found in the reference manual, the 'README' and the accompanying paper <doi:10.18637/jss.v108.i07>.

Authors:Benjamin Schwendinger [aut, cre], Florian Schwendinger [aut], Laura Vana [aut]

holiglm_1.0.1.tar.gz
holiglm_1.0.1.zip(r-4.7-any)holiglm_1.0.1.zip(r-4.6-any)holiglm_1.0.1.zip(r-4.5-any)
holiglm_1.0.1.tgz(r-4.6-any)holiglm_1.0.1.tgz(r-4.5-any)
holiglm_1.0.1.tar.gz(r-4.7-any)holiglm_1.0.1.tar.gz(r-4.6-any)
holiglm_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
holiglm/json (API)

# Install 'holiglm' in R:
install.packages('holiglm', repos = c('https://ben-schwen.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • bike - Bike Sharing Dataset

On CRAN:

Conda:

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

2.78 score 3 stars 244 downloads 26 exports 12 dependencies

Last updated from:118713c936. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK223
source / vignettesOK254
linux-release-x86_64OK213
macos-release-arm64OK169
macos-oldrel-arm64OK138
windows-develOK177
windows-releaseOK166
windows-oldrelOK169
wasm-releaseOK134

Exports:acoefactive_coefficientsagg_binomialas.OPcov_matrixgroup_equalgroup_inoutgroup_sparsityhglmhglm_fithglm_modelhglm_seqholiglmincludeis.hglmck_maxlinearlowerpairwise_sign_coherencerhglmrho_maxscale_constraint_matrixsign_coherencesolutionupdate_objectiveupper

Dependencies:backportscheckmatecliECOSolveRlatticeMASSMatrixregistryROIROI.plugin.ecosslamSuppDists

Conic Representable
Representable | Exceptions A | Mixed integer optimization | Exceptions B | Examples | Binomial with logit-link (convex and representable) | Binomial with log-link (convex and representable) | Binomial with probit-link (convex and non-representable) | Binomial with cloglog-link (convex and non-representable) | References
Rendered fromconic_representable.Rmdusingknitr::rmarkdown

Last update: 2024-12-20
Started: 2023-04-25

Installing additional solvers
Installing MOSEK | Installing Rmosek | Installing ROI.plugin.mosek | Installing GUROBI | Installing ROI.plugin.gurobi | Installing CPLEX | Installing ROI.plugin.cplex
Rendered fromsolver_installation.Rmdusingknitr::rmarkdown

Last update: 2024-12-20
Started: 2023-06-27