Set configuration options on a per-package basis.
    Options set by a given package only apply to that package,
    other packages are unaffected.

This package provides tools for handling base64 encoding. It is more flexible than the orphaned base64 package.

Wolfram Stacklies, Henning Redestig, Kevin Wright

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'

c(person("Brian", "Ripley", role = c("aut", "cre", "cph"),
                    email = "ripley@stats.ox.ac.uk"),
             person("William", "Venables", role = "cph"))

Software for feed-forward neural networks with a single
  hidden layer, and for multinomial log-linear models.

Feed-Forward Neural Networks and Multinomial Log-Linear Models

Brian Ripley [aut, cre, cph],
  William Venables [cph]

c(
    person("Kirill", "M"uller", , "krlmlr+r@mailbox.org", c("aut", "cre")),
    person("Hadley", "Wickham", , "hadley@rstudio.com", "aut"),
    person("Romain", "Francois", , "romain@r-enthusiasts.com", "ctb"),
    person("RStudio", role = "cph")
    )