R: Kernel-Based Regularized Least Squares

# Kernel-Based Regularized Least Squares

## Documentation for package ‘KRLS’ version 1.7-0

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

## Help Pages

b_maxvarK | Gaussian kernel bandwidth by maximum off-diagonal var(K)
b_maxvarK_nystrom | Gaussian kernel bandwidth by maximum off-diagonal var(K)
fdskrls | Compute first differences with KRLS
gausskernel | Gaussian Kernel Distance Computation
get_landmarks | Extract the landmark coordinates from a Nystrom KRLS fit
krls | Kernel-based Regularized Least Squares (KRLS)
lambdasearch | Leave-one-out optimization to find lambda
looloss | Loss Function for Leave One Out Error
plot.krls | Plot method for Kernel-based Regularized Least Squares (KRLS) Model Fits
predict.krls | Predict method for Kernel-based Regularized Least Squares (KRLS) Model Fits
solveforc | Solve for Choice Coefficients in KRLS
summary.krls | Summary method for Kernel-based Regularized Least Squares (KRLS) Model Fits