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
gamlss.foreach_1.1-12.zip(r-4.7-any)gamlss.foreach_1.1-12.zip(r-4.6-any)gamlss.foreach_1.1-12.zip(r-4.5-any)
gamlss.foreach_1.1-12.tgz(r-4.6-any)gamlss.foreach_1.1-12.tgz(r-4.5-any)
gamlss.foreach_1.1-12.tar.gz(r-4.7-any)gamlss.foreach_1.1-12.tar.gz(r-4.6-any)
gamlss.foreach_1.1-12.tgz(r-4.6-emscripten)
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:

3.73 score 2 packages 18 scripts 100 downloads 113 mentions 16 exports 39 dependencies

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

TargetResultTimeFilesSyslog
linux-develNOTE142
source / vignettesOK178
linux-releaseNOTE135
macos-releaseNOTE114
macos-oldrelNOTE146
windows-develNOTE115
windows-releaseNOTE108
windows-oldrelNOTE113
wasm-releaseOK92

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