Last data update: 2014.03.03

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

● 0 images, 38 functions, 0 datasets
● Reverse Depends: 0

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