Several functions are provided to implement a MBPLSDA : components search, optimal model components number search, optimal model validity test by permutation tests, observed values evaluation of optimal model parameters and predicted categories, bootstrap values evaluation of optimal model parameters and predicted cross-validated categories. The use of this package is described in Brandolini-Bunlon et al (2019. Multi-block PLS discriminant analysis for the joint analysis of metabolomic and epidemiological data. Metabolomics, 15(10):134).
MASS, parallel, doParallel, foreach, FactoMineR

global.R ClassU.R ClassV.R ClassW.R ClassV-ClassW.R

global.R ClassU.R ClassV.R ClassW.R ClassV-ClassW.R
classCreator.R

Illustration of the book "Petit Manuel de Programmation Orientee Objet sous R". The english version "A (Not so) Short Introduction to S4" is on CRAN, 'Contributed documentation'.
global.R ClassU.R ClassV.R ClassW.R ClassV-ClassW.R
classCreator.R codeVerif.R

This package comes to illustrate the book "Petit Manuel de Programmation Orientee Objet sous R"

person("Cole", "Beck", role = c("aut","cre"),
email = "cole.beck@vumc.org",
comment = c(ORCID = "0000-0002-6849-6255"))
It provides utility functions for investigating changes within R
packages. The pkgInfo() function extracts package information such as
exported and non-exported functions as well as their arguments. The
pkgDiff() function compares this information for two versions of a package
and creates a diff file viewable in a browser.

Computation and Visualization of Package Download Counts and
Percentiles
Compute and visualize the cross-sectional and longitudinal number
and rank percentile of package downloads from RStudio's CRAN mirror.
cranlogs, data.table, ggplot2, memoise, parallel, RCurl

cranlogs, data.table (>= 1.12.2), ggplot2, memoise, RCurl

cranlogs, data.table (>= 1.12.2), ggplot2, grDevices, memoise,
RCurl, rversions, stats

cranlogs, data.table (>= 1.12.2), ggplot2, grDevices, memoise,
pkgsearch, RCurl, R.utils, rversions, stats