Cross-Validation of Regression Models

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Documentation for package ‘cv’ version 1.0.1

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

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