Package: cancerclass
Type: Package
Version: 1.26.0
Date: 2011-10-26
Title: Development and validation of diagnostic tests from
        high-dimensional molecular data
Author: Jan Budczies, Daniel Kosztyla
Maintainer: Daniel Kosztyla <danielkossi@hotmail.com>
Description: The classification protocol starts with a feature selection step and continues with nearest-centroid classification. The accurarcy of the predictor can be evaluated using training and test set validation, leave-one-out cross-validation or in a multiple random validation protocol. Methods for calculation and visualization of continuous prediction scores allow to balance sensitivity and specificity and define a cutoff value according to clinical requirements.
Depends: R (>= 2.14.0), Biobase, binom, methods, stats
Suggests: cancerdata
License: GPL 3
biocViews: Cancer, Microarray, Classification, Visualization
Collate: validation-class.R nvalidation-class.R prediction-class.R
        predictor-class.R cancerclass-internal.R fit.R loo.R
        nvalidate.R plot3d_nvalidation.R plot3d_validation.R
        plot_nvalidation.R plot_prediction.R plot_predictor.R
        plot_validation.R predict_predictor.R summary_prediction.R
        validate.R
git_url: https://git.bioconductor.org/packages/cancerclass
git_branch: RELEASE_3_8
git_last_commit: 6b7e745
git_last_commit_date: 2018-10-30
Date/Publication: 2018-10-30
NeedsCompilation: yes
Packaged: 2018-10-31 01:46:28 UTC; biocbuild
Built: R 3.5.1; i386-w64-mingw32; 2018-10-31 10:49:32 UTC; windows
Archs: i386, x64
