Package: pboost 0.4.11

Zengchao Xu

pboost: Profile Boosting Framework for Parametric Models

A profile boosting framework for feature selection in parametric models. It offers a unified interface pboost() and several wrapped models, including linear model, generalized linear models, quantile regression, Cox proportional hazards model, beta regression, spatial auto-regressive models.

Authors:Zengchao Xu [aut, cre, cph]

pboost_0.4.11.tar.gz
pboost_0.4.11.zip(r-4.7-any)pboost_0.4.11.zip(r-4.6-any)pboost_0.4.11.zip(r-4.5-any)
pboost_0.4.11.tgz(r-4.6-any)pboost_0.4.11.tgz(r-4.5-any)
pboost_0.4.11.tar.gz(r-4.7-any)pboost_0.4.11.tar.gz(r-4.6-any)
pboost_0.4.11.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
pboost/json (API)

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

Bug tracker:https://github.com/paradoxical-rhapsody/pboost/issues

On CRAN:

Conda:

3.04 score 310 downloads 31 exports 61 dependencies

Last updated from:af80813c05. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK181
source / vignettesOK383
linux-releaseOK341
macos-releaseOK207
macos-oldrelOK208
windows-develOK142
windows-releaseOK415
windows-oldrelOK146
wasm-releaseOK294

Exports:EBICfbetaregfcoxphfglmfglm.fitflagsarlmflmflm.fitfrqfrq.fitfrsfsar.fitget_rhopbetaregpboostpcoxphpen_glmnetpen_ncvregpen_rqpen_sarpggmpglmpglm.fitplagsarlmplmplm.fitprqprq.fitpsar.fitsar.fitset_rook_matrix

Dependencies:backportsbetaregbootcheckmateclassclassIntclicodacodetoolsdata.tableDBIdeldire1071flexmixforeachFormulagenericsglmnethqreghrqglasinsightiteratorsKernSmoothlatticeLearnBayeslifecyclelmtestmarginaleffectsMASSMatrixMatrixModelsmodeltoolsmultcompmvtnormncvregnlmennetplyrproxyquantregrbibutilsRcppRcppArmadilloRcppEigenRdpackrlangrqPens2sandwichsfshapespSparseMspatialregspDataspdepsurvivalTH.dataunitswkzoo