Package: gamlss.foreach 1.1-12

Mikis Stasinopoulos

gamlss.foreach: Parallel Computations for Distributional Regression

Computationally 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], Robert Rigby [aut], Fernanda De Bastiani [aut]

gamlss.foreach_1.1-12.tar.gz
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manual.pdf |manual.html
DESCRIPTION |NEWS
card.svg |card.png
gamlss.foreach/json (API)

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

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

On CRAN:

Conda:

3.76 score 2 packages 19 scripts 58 downloads 113 mentions 16 exports 39 dependencies

Last updated from:3d8dae7cab. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE168
source / vignettesOK177
linux-release-x86_64NOTE160
macos-release-arm64NOTE91
macos-oldrel-arm64NOTE90
windows-develNOTE120
windows-releaseNOTE134
windows-oldrelNOTE152
wasm-releaseOK107

Exports:BayesianBootcentiles.bootcross_valcross_val2fitPCRfitQRfitRollinggamlss.pcgamlss.pcrgetSVDmult_cross_valNonParametricBootpcpcrwhich.Data.Corrwhich.yX.Corr

Dependencies:clicodetoolscpp11distributions3doParallelfarverforeachFormulagamlssgamlss.datagamlss.distgamlss2ggplot2glmnetgluegtableisobanditeratorslabelinglatticelifecycleMASSMatrixmatrixStatsmgcvmvtnormnlmeR6RColorBrewerRcppRcppEigenrlangS7scalesshapesurvivalvctrsviridisLitewithr

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
Cross Validation for GAMLSS Modelscross_val cross_val2 from_list2mat mult_cross_val
Function to fit simple Principal Component Regression.fitPCR
Fitting Quantile Regression Using the SEP3 DistributionfitQR
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