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]

# Install 'gamlss.foreach' in R:

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

On CRAN:

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

Last updated from:f301e551ad. Checks:2 NOTE, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	NOTE	117
source / vignettes	OK	151
linux-release-x86_64	NOTE	131
wasm-release	OK	107

Help page	Topics
Computational Intensive Functions within GAMLSS	gamlss.foreach-package gamlss.foreach
Non parametric and Bayesian Bootstrapping for GAMLSS models	BayesianBoot NonParametricBoot
Bootstrapping centiles curves estimated using GAMLSS	centiles.boot plot.centiles.boot print.centiles.boot summary.centiles.boot
Function to fit simple Principal Component Regression.	fitPCR
Function to Fit Rolling Regression in gamlss	fitRolling
Methods for PCR objects	coef.PCR fitted.PCR plot.PCR predict.PCR summary.PCR vcov.PCR
Functions to Fit Principal Component Regression in GAMLSS	gamlss.pc gamlss.pcr getSVD pc pcr
Detecting Hight Pair-Wise Correlations in Data	which.Data.Corr which.yX.Corr