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-4.5)dhglm_2.0.zip(r-4.4)dhglm_2.0.zip(r-4.3)
dhglm_2.0.tgz(r-4.5-any)dhglm_2.0.tgz(r-4.4-any)dhglm_2.0.tgz(r-4.3-any)
dhglm_2.0.tar.gz(r-4.5-noble)dhglm_2.0.tar.gz(r-4.4-noble)
dhglm_2.0.tgz(r-4.4-emscripten)dhglm_2.0.tgz(r-4.3-emscripten)
dhglm.pdf |dhglm.html✨
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 9 scripts 253 downloads 3 exports 65 dependencies

Last updated 6 years agofrom:a83ad49e70. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 12 2025
R-4.5-winOKMar 12 2025
R-4.5-macOKMar 12 2025
R-4.5-linuxOKMar 12 2025
R-4.4-winOKMar 12 2025
R-4.4-macOKMar 12 2025
R-4.4-linuxOKMar 12 2025
R-4.3-winOKMar 12 2025
R-4.3-macOKMar 12 2025

Exports:dhglmfitDHGLMMODELINGplotdhglm

Dependencies:abindbackportsbootbroomcarcarDataclicolorspacecowplotcpp11DerivdoBydplyrfansifarverFormulagenericsggplot2gluegtableisobandlabelinglatticelifecyclelme4magrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrmunsellnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpurrrquantregR6rbibutilsRColorBrewerRcppRcppEigenRdpackreformulasrlangsandwichscalesSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithrzoo