R: Out-of-Sample R² with Standard Error Estimation

# Out-of-Sample R² with Standard Error Estimation

## Documentation for package ‘oosse’ version 1.0.11

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

## Help Pages

boot632 | The .632 bootstrap estimation of the MSE
boot632multiple | Repeated .632 bootstrapa
bootOob | The oob bootstrap (smooths leave-one-out CV)
Brassica | Gene expression and phenotypes of Brassica napus (rapeseed) plants
buildConfInt | Calculate a confidence interval for R², MSE and MST
checkFitFun | Check whether supplied prediction function meets the requirements
estCorMSEMST | Estimate correlation between MSE and MST estimators
estMSE | Estimate MSE and its standard error
formatSeconds | Format seconds into human readable format
getSEsNested | Calculate standard error on MSE from nested CV results
isPD | Helper function to check if matrix is positive definite
processOob | Process the out-of-bag bootstraps to get to standard errors following Efron 1997
R2oosse | Estimate out-of-sample R² and its standard error
RsquaredSE | Calculate out-of-sample R² and its standard error based on MSE estimates
simpleCV | Perform simple CV, and return the MSE estimate