Fast Local Polynomial Regression and Kernel Density Estimation

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Documentation for package ‘fastlpr’ version 1.0.1

• DESCRIPTION file
• Package NEWS
• Package README

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