Last data update: 2014.03.03
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FRESA.CAD
Package: FRESA.CAD
Type: Package
Title: Feature Selection Algorithms for Computer Aided Diagnosis
Version: 2.2.0
Date: 2016-03-11
Author: Jose Gerardo Tamez-Pena, Antonio Martinez-Torteya and Israel Alanis
Maintainer: Jose Gerardo Tamez-Pena <jose.tamezpena@itesm.mx>
Description: Contains a set of utilities for building and testing formula-based models (linear, logistic or COX) for Computer Aided Diagnosis/Prognosis applications. Utilities include data adjustment, univariate analysis, model building, model-validation, longitudinal analysis, reporting and visualization.
License: LGPL (>= 2)
Depends: Rcpp (>= 0.10.0), stringr, miscTools, Hmisc, pROC
LinkingTo: Rcpp, RcppArmadillo
Suggests: nlme, rpart, gplots, RColorBrewer, class, cvTools, glmnet, survival
Packaged: 2016-03-11 20:17:39 UTC; Jose Tamez
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2016-03-12 00:03:41
Install log
* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'FRESA.CAD' ...
** package 'FRESA.CAD' successfully unpacked and MD5 sums checked
** libs
g++ -I/home/ddbj/local/lib64/R/include -DNDEBUG -fopenmp -g -I/usr/local/include -I"/home/ddbj/local/lib64/R/library/Rcpp/include" -I"/home/ddbj/local/lib64/R/library/RcppArmadillo/include" -fpic -g -O2 -c FRESAcommons.cpp -o FRESAcommons.o
g++ -I/home/ddbj/local/lib64/R/include -DNDEBUG -fopenmp -g -I/usr/local/include -I"/home/ddbj/local/lib64/R/library/Rcpp/include" -I"/home/ddbj/local/lib64/R/library/RcppArmadillo/include" -fpic -g -O2 -c binaryFeatureSelectionCpp.cpp -o binaryFeatureSelectionCpp.o
g++ -I/home/ddbj/local/lib64/R/include -DNDEBUG -fopenmp -g -I/usr/local/include -I"/home/ddbj/local/lib64/R/library/Rcpp/include" -I"/home/ddbj/local/lib64/R/library/RcppArmadillo/include" -fpic -g -O2 -c rankInverseNormalCpp.cpp -o rankInverseNormalCpp.o
g++ -I/home/ddbj/local/lib64/R/include -DNDEBUG -fopenmp -g -I/usr/local/include -I"/home/ddbj/local/lib64/R/library/Rcpp/include" -I"/home/ddbj/local/lib64/R/library/RcppArmadillo/include" -fpic -g -O2 -c regresionFeatureSelectionCpp.cpp -o regresionFeatureSelectionCpp.o
g++ -shared -L/home/ddbj/local/lib64/R/lib -L/usr/local/lib64 -o FRESA.CAD.so FRESAcommons.o binaryFeatureSelectionCpp.o rankInverseNormalCpp.o regresionFeatureSelectionCpp.o -L/home/ddbj/local/lib64/R/lib -lRlapack -L/home/ddbj/local/lib64/R/lib -lRblas -lgfortran -lm -lquadmath -fopenmp -L/home/ddbj/local/lib64/R/lib -lR
installing to /home/ddbj/local/lib64/R/library/FRESA.CAD/libs
** R
** data
** preparing package for lazy loading
** help
*** installing help indices
converting help for package 'FRESA.CAD'
finding HTML links ... done
CancerVarNames html
FRESA.CAD-package html
FRESA.Model html
ForwardModel.Bin html
ForwardModel.Res html
backVarElimination.Bin html
backVarElimination.Res html
baggedModel html
bootstrapValidation.Bin html
bootstrapValidation.Res html
bootstrapVarElimination.Bin html
bootstrapVarElimination.Res html
crossValidationFeatureSelection.Bin html
crossValidationFeatureSelection.Res html
featureAdjustment html
getKNNpredictionFromFormula html
getVar.Bin html
getVar.Res html
heatMaps html
improvedResiduals html
listTopCorrelatedVariables html
medianPredict html
modelFitting html
plot.bootstrapValidation.Bin html
plot.bootstrapValidation.Res html
plotModels.ROC html
predictForFresa html
rankInverseNormalDataFrame html
reportEquivalentVariables html
residualForFRESA html
summary.bootstrapValidation html
summaryReport html
timeSeriesAnalysis html
uniRankVar html
univariateRankVariables html
update.uniRankVar html
updateModel.Bin html
updateModel.Res html
** building package indices
** testing if installed package can be loaded
* DONE (FRESA.CAD)
Making 'packages.html' ... done
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