Provides Bayesian PCA, Probabilistic PCA, Nipals PCA,
    Inverse Non-Linear PCA and the conventional SVD PCA. A cluster
    based method for missing value estimation is included for
    comparison. BPCA, PPCA and NipalsPCA may be used to perform PCA
    on incomplete data as well as for accurate missing value
    estimation. A set of methods for printing and plotting the
    results is also provided. All PCA methods make use of the same
    data structure (pcaRes) to provide a common interface to the
    PCA results. Initiated at the Max-Planck Institute for
    Molecular Plant Physiology, Golm, Germany.

'derrorHierarchic.R' 'errorHierarchic.R' 'AllClasses.R'
'AllGenerics.R' 'BPCA_dostep.R' 'BPCA_initmodel.R' 'bpca.R'
'checkData.R' 'forkNlpcaNet.R' 'kEstimate.R' 'kEstimateFast.R'
'lineSearch.R' 'llsImpute.R' 'methods-ExpressionSet.R'
'methods-nniRes.R' 'methods-pcaRes.R' 'nipalsPca.R' 'nlpca.R'
'optiAlgCgd.R' 'orth.R' 'pca.R' 'pcaMethods-package.R' 'ppca.R'
'prep.R' 'repmat.R' 'robustPca.R' 'sortFeatures.R'
'svdImpute.R' 'vector2matrices.R' 'xval.R'

Thomas Lin Pedersen, Vladislav A Petyuk with contributions from
    Laurent Gatto and Sebastian Gibb.

A parser for mzIdentML files implemented using the XML package.
    The parser tries to be general and able to handle all types of mzIdentML
    files with the drawback of having less 'pretty' output than a vendor
    specific parser. Please contact the maintainer with any problems and supply
    an mzIdentML file so the problems can be fixed quickly.

XML, plyr, parallel, doParallel, foreach, iterators,
ProtGenerics

'aaa.R' 'generics.R' 'mzIDpsm.R' 'mzIDpeptides.R'
'mzIDparameters.R' 'mzIDevidence.R' 'mzIDdatabase.R' 'mzID.R'
'mzIDCollection.R' 'mzID-constructor.R' 'mzID-package.R'

Functions for Base Types and Core R and 'Tidyverse' Features

A toolbox for working with base types, core R features
  like the condition system, and core 'Tidyverse' features like tidy
  evaluation.

c(
    person("Lionel", "Henry", ,"lionel@rstudio.com", c("aut", "cre")),
    person("Hadley", "Wickham", ,"hadley@rstudio.com", "aut"),
    person("RStudio", role = "cph")
    )