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:
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')) |
- crack_growth - Crack-growth Data
- epilepsy - Epilepsy Seizures Data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 6 years agofrom:a83ad49e70. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 13 2024 |
| R-4.5-win | OK | Sep 13 2024 |
| R-4.5-linux | OK | Sep 13 2024 |
| R-4.4-win | OK | Sep 13 2024 |
| R-4.4-mac | OK | Sep 13 2024 |
| R-4.3-win | OK | Sep 13 2024 |
| R-4.3-mac | OK | Sep 13 2024 |
Exports:dhglmfitDHGLMMODELINGplotdhglm
Dependencies:abindbackportsbootbroomcarcarDataclicolorspacecowplotcpp11DerivdoBydplyrfansifarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclelme4magrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrmunsellnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpurrrquantregR6RColorBrewerRcppRcppEigenrlangsandwichscalesSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithrzoo
