R(>= 3.6.0), gee, MASS, mvtnorm, fields, matrixStats

Contains some tools for testing, analyzing time series data and
fitting popular time series models such as ARIMA, Moving Average and Holt
Winters, etc. Most functions also provide nice and clear outputs like SAS
does, such as identify, estimate and forecast, which are the same statements
in PROC ARIMA in SAS.

Adaptation of Virtual Twins Method from Jared Foster
person("Francois", "Vieille", email = "vieille.francois@gmail.com",
role = c("aut", "cre"))
Research of subgroups in random clinical trials with binary outcome and two treatments groups. This is an adaptation of the Jared Foster method.
rpart, party, methods, randomForest, stats
'aVirtualTwins.R' 'data.R' 'object.R' 'difft.R' 'setClass.R'
'predict.R' 'forest.R' 'forest.double.R' 'forest.fold.R'
'forest.one.R' 'forest.wrapper.R' 'formatRCTDataset.R'
'incidences.R' 'object.wrapper.R' 'tools.R' 'tree.R'
'tree.class.R' 'tree.reg.R' 'tree.wrapper.R'

c(person("Francois", "Vieille", email = "vieille.francois@gmail.com",
role = c("aut", "cre")), person("Jared", "Foster", email = "jared.foster@nih.gov", role = c("aut")))
Research of subgroups in random clinical trials with binary outcome and two treatments groups. This is an adaptation of the Jared Foster method (<https://www.ncbi.nlm.nih.gov/pubmed/21815180>).
caret, knitr, rpart.plot, rmarkdown, e1071
Francois Vieille [aut, cre],
Jared Foster [aut]

Mutual information for protein sequence alignments
This package contains four functions. read.FASTA reads in a
FASTA-format alignment file and parses it into a data frame. read.CX reads
in a ClustalX .aln-format file and parses it into a data frame. read.Gdoc
reads in a GeneDoc .msf-format file and parses it into a data frame. The
alignment data frame returned by each of these functions has the sequence
IDs as the row names and each site in the alignment is a column in the data
frame. The program aaMI calculates the mutual information between each pair
of sites (columns) in the protein sequence alignment data frame.