FRESA.CAD: Feature Selection Algorithms for Computer Aided Diagnosis
Contains a set of utilities for building and testing statistical models (linear, logistic,ordinal or COX) for Computer Aided Diagnosis/Prognosis applications. Utilities include data adjustment, univariate analysis, model building, model-validation, longitudinal analysis, reporting and visualization.
Version: |
3.4.2 |
Depends: |
Rcpp (≥ 0.10.0), stringr, miscTools, Hmisc, pROC |
LinkingTo: |
Rcpp, RcppArmadillo |
Suggests: |
nlme, rpart, gplots, RColorBrewer, class, cvTools, glmnet, randomForest, survival, e1071, MASS, naivebayes, mRMRe, epiR, DescTools, irr, survminer, BeSS, ggplot2, robustbase, mda, twosamples, Rfast |
Published: |
2022-05-19 |
Author: |
Jose Gerardo Tamez-Pena, Antonio Martinez-Torteya, Israel Alanis and Jorge Orozco |
Maintainer: |
Jose Gerardo Tamez-Pena <jose.tamezpena at tec.mx> |
License: |
LGPL-2 | LGPL-2.1 | LGPL-3 [expanded from: LGPL (≥ 2)] |
NeedsCompilation: |
yes |
Citation: |
FRESA.CAD citation info |
Materials: |
NEWS |
CRAN checks: |
FRESA.CAD results |
Documentation:
Downloads:
Reverse dependencies:
Linking:
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