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-4.4-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'))

Peer review:

Datasets:

On CRAN:

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 8 scripts 214 downloads 3 exports 62 dependencies

Last updated 6 years agofrom:a83ad49e70. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 12 2024
R-4.5-winOKNov 12 2024
R-4.5-linuxOKNov 12 2024
R-4.4-winOKNov 12 2024
R-4.4-macOKNov 12 2024
R-4.3-winOKNov 12 2024
R-4.3-macOKNov 12 2024

Exports:dhglmfitDHGLMMODELINGplotdhglm

Dependencies:abindbackportsbootbroomcarcarDataclicolorspacecowplotcpp11DerivdoBydplyrfansifarverFormulagenericsggplot2gluegtableisobandlabelinglatticelifecyclelme4magrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrmunsellnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpurrrquantregR6RColorBrewerRcppRcppEigenrlangsandwichscalesSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithrzoo