Package: gamlss2 0.1-0

Nikolaus Umlauf

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:Mikis Stasinopoulos [aut, cph], Robert Rigby [aut], Nikolaus Umlauf [aut, cre], Achim Zeileis [ctb], Reto Stauffer [aut]

gamlss2_0.1-0.tar.gz
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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'))

Peer review:

Bug tracker:https://github.com/gamlss-dev/gamlss2/issues

Datasets:
  • HarzTraffic - Traffic Counts at Sonnenberg in the Harz Region

On CRAN:

20 exports 5 stars 2.86 score 7 dependencies 1 dependents

Last updated 21 hours agofrom:f8c2683696. Checks:OK: 7 NOTE: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 17 2024
R-4.5-win-x86_64NOTESep 17 2024
R-4.5-linux-x86_64NOTESep 17 2024
R-4.4-win-x86_64OKSep 17 2024
R-4.4-mac-x86_64OKSep 17 2024
R-4.4-mac-aarch64OKSep 17 2024
R-4.3-win-x86_64OKSep 17 2024
R-4.3-mac-x86_64OKSep 17 2024
R-4.3-mac-aarch64OKSep 17 2024

Exports:available_familiesCGfake_formulafind_familyfit_familyGAICgamlss2gamlss2_controlgamlss2.formulagamlss2.listnew_formularesponse_nameRSRsqsoftplusspecial_fitspecial_predictspecialsstep_gamlss2stepwise

Dependencies:Formulagamlss.distlatticeMASSMatrixmgcvnlme

First Steps

Rendered fromgamlss2.Rmdusingknitr::rmarkdownon Sep 17 2024.

Last update: 2024-09-06
Started: 2023-12-13