# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "fastlpr" in publications use:' type: software license: GPL-3.0-only title: 'fastlpr: Fast Local Polynomial Regression and Kernel Density Estimation' version: 1.0.1 identifiers: - type: doi value: 10.32614/CRAN.package.fastlpr abstract: 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). authors: - family-names: Wang given-names: Ying email: yingwangrigel@gmail.com - family-names: Li given-names: Min email: minli.231314@gmail.com preferred-citation: type: manual title: 'fastLPR: Fast Local Polynomial Regression via NUFFT in MATLAB, Python, and R' authors: - family-names: Wang given-names: Ying email: yingwangrigel@gmail.com - family-names: Li given-names: Min email: minli.231314@gmail.com - family-names: Paz-Linares given-names: Deirel - family-names: Valdes-Sosa given-names: Pedro A. year: '2026' notes: R package version 1.0.0 url: https://github.com/rigelfalcon/fastLPR repository: https://cran.r-universe.dev repository-code: https://github.com/rigelfalcon/fastLPR commit: 957f391906e0d332832564c565d957c082268874 url: https://github.com/rigelfalcon/fastLPR date-released: '2026-04-21' contact: - family-names: Wang given-names: Ying email: yingwangrigel@gmail.com