# Development and validation of diagnostic tests from high-dimensional molecular data

## Documentation for package ‘cancerclass’ version 1.46.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

cancerclass | Development and validation of diagnostic tests from high-dimensional molecular data
fit | Fitting of a predictor
GOLUB | GOLUB DATA
GOLUB1 | GOLUB DATA
loo | Leave-one-out cross-validation
nvalidate | Classification in a multiple random validation protocol in pependence of the number of features used for predictor construction
nvalidation-class | Class "nvalidation"
plot | Plot Method for 'validation, nvalidation, prediction, predictor' Classes
plot-method | Plot Method for 'validation, nvalidation, prediction, predictor' Classes
plot3d | Plot3d method for 'validtion and 'nvalidation' classes
plot3d-method | Plot3d method for 'validtion and 'nvalidation' classes
predict | Predict Method for 'predictor' Class
predict-method | Predict Method for 'predictor' Class
predict-methods | Predict Method for 'predictor' Class
prediction-class | Class "prediction"
predictor-class | Class "predictor"
summary | Summary Method for 'prediction' Class
summary-method | Summary Method for 'prediction' Class
validate | Classification in a Multiple Random Validation Protocol in Dependence of the Training Set Size
validation-class | Class "validation"