Package: fastlpr Title: Fast Local Polynomial Regression and Kernel Density Estimation Version: 1.0.1 Authors@R: c( person("Ying", "Wang", email = "yingwangrigel@gmail.com", role = c("aut", "cre")), person("Min", "Li", email = "minli.231314@gmail.com", role = "aut") ) Description: Non-Uniform Fast Fourier Transform ('NUFFT')-accelerated local polynomial regression and kernel density estimation for large, scattered, or complex-valued datasets. Provides automatic bandwidth selection via Generalized Cross-Validation (GCV) for regression and Likelihood Cross-Validation (LCV) for density estimation. This is the 'R' port of the 'fastLPR' 'MATLAB'/'Python' toolbox, achieving O(N + M log M) computational complexity through custom 'NUFFT' implementation with Gaussian gridding. Supports 1D/2D/3D data, complex-valued responses, heteroscedastic variance estimation, and confidence interval computation. Performance optimized with vectorized 'R' code and compiled helpers via 'Rcpp'/'RcppArmadillo'. Extends the 'FKreg' toolbox of Wang et al. (2022) with 'Python' and 'R' ports. Applied in Li et al. (2022) . Uses 'NUFFT' methods based on Greengard and Lee (2004) , binning-accelerated kernel estimation of Wand (1994) , and local polynomial regression framework of Fan and Gijbels (1996, ISBN:978-0412983214). License: GPL-3 Encoding: UTF-8 ByteCompile: false Depends: R (>= 4.2.0) Imports: stats, utils, grDevices, graphics, compiler, Rcpp (>= 1.0.0) Suggests: testthat (>= 3.0.0), akima, rgl, R.matlab LinkingTo: Rcpp, RcppArmadillo SystemRequirements: GNU make URL: https://github.com/rigelfalcon/fastLPR BugReports: https://github.com/rigelfalcon/fastLPR/issues RoxygenNote: 7.3.1 NeedsCompilation: yes Packaged: 2026-07-20 06:37:39 UTC; root Author: Ying Wang [aut, cre], Min Li [aut] Maintainer: Ying Wang Config/pak/sysreqs: make Repository: https://cran.r-universe.dev Date/Publication: 2026-04-21 09:55:16 UTC RemoteUrl: https://github.com/cran/fastlpr RemoteRef: HEAD RemoteSha: 957f391906e0d332832564c565d957c082268874