R: Fast Local Polynomial Regression and Kernel Density Estimation

# Fast Local Polynomial Regression and Kernel Density Estimation

## Documentation for package ‘fastlpr’ version 1.0.1

- DESCRIPTION file.
- Package NEWS.

## Help Pages

cv_fastkde | Fast Kernel Density Estimation with automatic bandwidth selection
cv_fastlpr | Fast Local Polynomial Regression with automatic bandwidth selection
fastkde_plot | Plot KDE results
fastkde_plot_bandwidth | Plot Bandwidth Selection Diagnostics for KDE
fastlpr_interval | Compute Confidence or Prediction Intervals
fastlpr_plot | Plot regression results
fastlpr_plot_interval | Plot Confidence or Prediction Interval Bands
fastlpr_predict | Predict at new points
get_hlist | Generate bandwidth candidates for cross-validation
get_rcpp_info | Get Rcpp Information
is_fastkde_result | Check if Object is a fastkde_result
is_fastlpr_result | Check if Object is a fastlpr_result
multispace | Generate multi-dimensional grid
rcpp_available | Check if Rcpp Acceleration is Available
set_defaults | Set default options
zscore | Z-score normalization