Package: gamlss.foreach 1.1-6

Mikis Stasinopoulos

gamlss.foreach: Parallel Computations for Distributional Regression

Computational intensive calculations for Generalized Additive Models for Location Scale and Shape, <doi:10.1111/j.1467-9876.2005.00510.x>.

Authors:Mikis Stasinopoulos [aut, cre, cph], Bob Rigby [aut], Fernanda De Bastiani [aut]

gamlss.foreach_1.1-6.tar.gz
gamlss.foreach_1.1-6.tar.gz(r-4.5-noble)gamlss.foreach_1.1-6.tar.gz(r-4.4-noble)
gamlss.foreach_1.1-6.tgz(r-4.4-emscripten)gamlss.foreach_1.1-6.tgz(r-4.3-emscripten)
gamlss.foreach.pdf |gamlss.foreach.html
gamlss.foreach/json (API)

# Install 'gamlss.foreach' in R:
install.packages('gamlss.foreach', repos = 'https://cloud.r-project.org')

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.48 score 1 packages 291 downloads 113 mentions 12 exports 16 dependencies

Last updated 3 years agofrom:f301e551ad. Checks:1 OK, 1 ERROR, 1 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 21 2025
R-4.5-linuxERRORMar 21 2025
R-4.4-linuxNOTEMar 21 2025

Exports:BayesianBootcentiles.bootfitPCRfitRollinggamlss.pcgamlss.pcrgetSVDNonParametricBootpcpcrwhich.Data.Corrwhich.yX.Corr

Dependencies:codetoolsdoParallelforeachgamlssgamlss.datagamlss.distglmnetiteratorslatticeMASSMatrixnlmeRcppRcppEigenshapesurvival

Citation

To cite package ‘gamlss.foreach’ in publications use:

Stasinopoulos M, Rigby B, De Bastiani F (2022). gamlss.foreach: Parallel Computations for Distributional Regression. R package version 1.1-6, https://CRAN.R-project.org/package=gamlss.foreach.

ATTENTION: This citation information has been auto-generated from the package DESCRIPTION file and may need manual editing, see ‘help("citation")’.

Corresponding BibTeX entry:

  @Manual{,
    title = {gamlss.foreach: Parallel Computations for Distributional
      Regression},
    author = {Mikis Stasinopoulos and Bob Rigby and Fernanda {De
      Bastiani}},
    year = {2022},
    note = {R package version 1.1-6},
    url = {https://CRAN.R-project.org/package=gamlss.foreach},
  }

Readme and manuals

Help Manual

Help pageTopics
Computational Intensive Functions within GAMLSSgamlss.foreach-package gamlss.foreach
Non parametric and Bayesian Bootstrapping for GAMLSS modelsBayesianBoot NonParametricBoot
Bootstrapping centiles curves estimated using GAMLSScentiles.boot plot.centiles.boot print.centiles.boot summary.centiles.boot
Function to fit simple Principal Component Regression.fitPCR
Function to Fit Rolling Regression in gamlssfitRolling
Methods for PCR objectscoef.PCR fitted.PCR plot.PCR predict.PCR summary.PCR vcov.PCR
Functions to Fit Principal Component Regression in GAMLSSgamlss.pc gamlss.pcr getSVD pc pcr
Detecting Hight Pair-Wise Correlations in Datawhich.Data.Corr which.yX.Corr