Package: dhglm 2.0

dhglm: Double Hierarchical Generalized Linear Models

Implements double hierarchical generalized linear models in which the mean, dispersion parameters for variance of random effects, and residual variance (overdispersion) can be further modeled as random-effect models.

Authors:Youngjo Lee, Maengseok Noh

dhglm_2.0.tar.gz
dhglm_2.0.zip(r-4.7-any)dhglm_2.0.zip(r-4.6-any)dhglm_2.0.zip(r-4.5-any)
dhglm_2.0.tgz(r-4.6-any)dhglm_2.0.tgz(r-4.5-any)
dhglm_2.0.tar.gz(r-4.7-any)dhglm_2.0.tar.gz(r-4.6-any)
dhglm_2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
dhglm/json (API)

# Install 'dhglm' in R:
install.packages('dhglm', repos = c('https://msnoh1.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On CRAN:

Conda:

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

1.00 score 1 stars 4 scripts 368 downloads 3 exports 69 dependencies

Last updated from:a83ad49e70. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK191
source / vignettesOK189
linux-releaseOK184
macos-releaseOK104
macos-oldrelOK116
windows-develOK135
windows-releaseOK81
windows-oldrelOK107
wasm-releaseOK133

Exports:dhglmfitDHGLMMODELINGplotdhglm

Dependencies:abindbackportsbootbroomcarcarDataclicolorspacecowplotcpp11DerivdoBydplyrfarverforecastFormulafracdiffgenericsggplot2gluegtableisobandlabelinglatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmgcvminqamodelrnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpurrrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangS7sandwichscalesSparseMstringistringrsurvivaltibbletidyrtidyselecttimeDateurcautf8vctrsviridisLitewithrzoo