# Cross-Validation of Regression Models

## Documentation for package ‘cv’ version 1.0.1

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

## Help Pages

BayesRule | Cost Functions for Fitted Regression Models
BayesRule2 | Cost Functions for Fitted Regression Models
compareFolds | Cross-Validate a Model-Selection Procedure
costFunctions | Cost Functions for Fitted Regression Models
cv | Cross-Validate Regression Models
cv.default | Cross-Validate Regression Models
cv.glm | Cross-Validate Regression Models
cv.glmmTMB | Cross-Validate Mixed-Effects Model
cv.lm | Cross-Validate Regression Models
cv.lme | Cross-Validate Mixed-Effects Model
cv.merMod | Cross-Validate Mixed-Effects Model
cv.modList | Cross-Validate Several Models Fit to the Same Data
cvMixed | Cross-Validate Mixed-Effects Model
cvSelect | Cross-Validate a Model-Selection Procedure
getResponse | Extract Response Variable
getResponse.default | Extract Response Variable
getResponse.glmmTMB | Extract Response Variable
getResponse.lme | Extract Response Variable
getResponse.merMod | Extract Response Variable
models | Cross-Validate Several Models Fit to the Same Data
mse | Cost Functions for Fitted Regression Models
plot.cvModList | Cross-Validate Several Models Fit to the Same Data
print.cv | Cross-Validate Regression Models
print.cvList | Cross-Validate Regression Models
print.cvModList | Cross-Validate Several Models Fit to the Same Data
selectStepAIC | Cross-Validate a Model-Selection Procedure
selectTrans | Cross-Validate a Model-Selection Procedure