Package: gamlss2 0.1-0
gamlss2: GAMLSS Infrastructure for Flexible Distributional Regression
Next generation infrastructure for generalized additive models for location, scale, and shape (GAMLSS) and distributional regression more generally. The package provides a fresh reimplementaton of the classic 'gamlss' package while being more modular and facilitating the creation of advanced terms and models.
Authors:
gamlss2_0.1-0.tar.gz
gamlss2_0.1-0.zip(r-4.5)gamlss2_0.1-0.zip(r-4.4)gamlss2_0.1-0.zip(r-4.3)
gamlss2_0.1-0.tgz(r-4.5-x86_64)gamlss2_0.1-0.tgz(r-4.5-arm64)gamlss2_0.1-0.tgz(r-4.4-x86_64)gamlss2_0.1-0.tgz(r-4.4-arm64)gamlss2_0.1-0.tgz(r-4.3-x86_64)gamlss2_0.1-0.tgz(r-4.3-arm64)
gamlss2_0.1-0.tar.gz(r-4.5-noble)gamlss2_0.1-0.tar.gz(r-4.4-noble)
gamlss2_0.1-0.tgz(r-4.4-emscripten)gamlss2_0.1-0.tgz(r-4.3-emscripten)
gamlss2.pdf |gamlss2.html✨
gamlss2/json (API)
NEWS
# Install 'gamlss2' in R: |
install.packages('gamlss2', repos = c('https://gamlss-dev.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/gamlss-dev/gamlss2/issues
- HarzTraffic - Traffic Counts at Sonnenberg in the Harz Region
Last updated 11 days agofrom:39dc2dc9f1. Checks:1 OK, 10 WARNING. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Feb 25 2025 |
R-4.5-win-x86_64 | WARNING | Feb 25 2025 |
R-4.5-mac-x86_64 | WARNING | Feb 25 2025 |
R-4.5-mac-aarch64 | WARNING | Feb 25 2025 |
R-4.5-linux-x86_64 | WARNING | Feb 25 2025 |
R-4.4-win-x86_64 | WARNING | Feb 25 2025 |
R-4.4-mac-x86_64 | WARNING | Feb 25 2025 |
R-4.4-mac-aarch64 | WARNING | Feb 25 2025 |
R-4.3-win-x86_64 | WARNING | Feb 25 2025 |
R-4.3-mac-x86_64 | WARNING | Feb 25 2025 |
R-4.3-mac-aarch64 | WARNING | Feb 25 2025 |
Exports:available_familiesCGdiscretizefake_formulafind_familyfit_familyGAICgamlss2gamlss2_controlgamlss2.formulagamlss2.listKSKumaraswamylalassomake.link2new_formulaplot_lassoresponse_nameRSRsqselect_gamlss2shiftlogsoftplusspecial_fitspecial_predictspecialssRSstep_gamlss2stepwise
Dependencies:Formulagamlss.distlatticeMASSMatrixmgcvmvtnormnlme