R Observatory: Metrics for fastlpr version 1.0.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

fastlpr

1.0.1

Fast Local Polynomial Regression and Kernel Density Estimation

0packages depend

1.5Kdownloads / year

47.5%test coverage

13/13checks pass

Overview

About

Maintained by Ying WangFirst published 2026-04-211 releasesCRAN page ↗GitHub ↗

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) doi:10.48550/arXiv.2204.07716 with 'Python' and 'R' ports. Applied in Li et al. (2022) doi:10.1016/j.neuroimage.2022.119190. Uses 'NUFFT' methods based on Greengard and Lee (2004) doi:10.1137/S003614450343200X, binning-accelerated kernel estimation of Wand (1994) doi:10.1080/10618600.1994.10474656, and local polynomial regression framework of Fan and Gijbels (1996, ISBN:978-0412983214).

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("fastlpr", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("rigelfalcon/fastLPR")

Development version from rigelfalcon/fastLPR. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-fastlpr

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-fastlpr

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-fastlpr

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 6.0 min · r-oldrel-macos-x86_64

Code health

Yes

Tests · ratio 0.68

47.5%

Coverage · measured lines

100%

Documentation · exports

6

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-04-25
11 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-04-22
5 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE

Documentation

READMEYes · 701 wordsVignettesNopkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo

Examples that run: 50%
Documented parameters: 99%
Return-value docs: 100%
References docs: 6%

Downloads

1.5K

CRAN downloads in the past year

Rank #10,507 · ~4/day · ~128/mo

Releases R versions

Daily download trend is not available in this view yet.

23330 days

92490 days

1.5K1 year

Compare downloads with other packages →

Also on116 r2u26 autocran

Repository

GitHub ↗ rigelfalcon/fastlpr

1Stars

0Forks

0Open issues

0Open PRs

1Releases

28Commits

1Contributors

License GPL-3.0 · 28 commits · Last activity 2026-06-15 · 0% stars, 30d

Stars over time

2026-06-25 · 12026-07-07 · 1

Repository practices

Upstream repositoryBeta

Checks run against github.com/rigelfalcon/fastlpr on 2026-08-23.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

7 external dependencies (excludes base and recommended)

Depends (1)

R >= 4.2.0

Imports (6)

statsutilsgrDevicesgraphicscompilerRcpp

LinkingTo (2)

Rcpp RcppArmadillo

Suggests (4)

testthat akima rgl R.matlab

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (2)

Maintainer (1)

Ying Wang

Author, Maintainer

Authors (2)

Ying Wang

Author, Maintainer

Min Li

Author

Package Timeline

1 release. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
1.0.1Latest
2026-04-21 · current release
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2026-04-21
Total releases: 1 / 1 yrs
License: GPL-3 OSI
Minimum R: ≥ 4.2.0
Download size: 150 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("fastlpr")

Format

Wang, Y., & Li, M. (2026). fastlpr: Fast Local Polynomial Regression and Kernel Density Estimation (Version 1.0.1) [Computer software]. https://doi.org/10.32614/CRAN.package.fastlpr

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for fastlpr version 1.0.1 [Data set]. HJJB, LLC. Data release v2026-08-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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