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Provides geometric methods for nonparametric regression and density estimation on data represented as coordinate matrices or weighted graphs. Methods include local polynomial smoothing, model-averaged local polynomial smoothing, local polynomial lifting trend filtering, synchronized local polynomial lifting trend filtering, graph low-pass filtering, and Hessian-energy regression. Methodological references include Gajer and Ravel (2025) "Adaptive Geometric Regression for High-Dimensional Structured Data" <doi:10.48550/arXiv.2511.03817>, Fan and Gijbels (1996, ISBN:9780412983214), Wang et al. (2016) "Trend Filtering on Graphs" <https://www.jmlr.org/papers/v17/15-147.html>, and Kim et al. (2009) "Semi-Supervised Regression Using Hessian Energy" <https://papers.nips.cc/paper/3741-semi-supervised-regression-using-hessian-energy-with-an-application-to-semi-supervised-dimensionality-reduction>.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | dgraphs (≥ 0.1.0), digest, jsonlite, MASS, Matrix, methods, Rcpp, stats, utils |
| LinkingTo: | Rcpp |
| Suggests: | genlasso, grip, knitr, rmarkdown, testthat (≥ 3.0.0), waldo |
| Published: | 2026-09-12 |
| DOI: | 10.32614/CRAN.package.geosmooth |
| Author: | Pawel Gajer [aut, cre], Gael Guennebaud [ctb] (Eigen), Benoit Jacob [ctb] (Eigen), Authors of Eigen [cph] (Authorship and copyright in the included Eigen library), Yixuan Qiu [ctb, cph] (Spectra), Contributors to Spectra [cph] (Copyright in the included Spectra library), Sunil Arya [ctb, cph] (ANN), David M. Mount [ctb, cph] (ANN), University of Maryland [cph] (ANN) |
| Maintainer: | Pawel Gajer <pgajer at gmail.com> |
| BugReports: | https://github.com/pgajer/geosmooth/issues |
| License: | GPL (≥ 3) |
| Copyright: | file inst/COPYRIGHTS geosmooth copyright details |
| URL: | https://github.com/pgajer/geosmooth |
| NeedsCompilation: | yes |
| SystemRequirements: | GNU make |
| Language: | en-US |
| Materials: | README, NEWS |
| CRAN checks: | geosmooth results |
| Reference manual: | geosmooth.html , geosmooth.pdf |
| Vignettes: |
Synthetic datasets for geometric smoothing (source, R code) |
| Package source: | geosmooth_0.1.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): geosmooth_0.1.0.tgz, r-release (x86_64): geosmooth_0.1.0.tgz, r-oldrel (x86_64): geosmooth_0.1.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.