Package: rfastloess Title: High-Performance LOESS Smoothing for R Version: 3.0.0 Authors@R: person("Amir", "Valizadeh", email = "thisisamirv@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-5983-8527")) Description: Provides high-performance LOESS smoothing (Locally Estimated Scatterplot Smoothing) using a 'Rust' backend. Supports various weight functions, robustness iterations, streaming/online processing, cross-validation, and uncertainty quantification. Applicable to genomic data, time series, and general-purpose smoothing tasks. License: MIT + file LICENSE | Apache License (== 2.0) SystemRequirements: 'Rust' programming language (via 'rustup' or system tools) Encoding: UTF-8 Depends: R (>= 4.4.0) Roxygen: list(markdown = TRUE, roclets = c("namespace", "rd", "srr::srr_stats_roclet")) Suggests: knitr, rmarkdown, testthat (>= 3.0.0) Config/testthat/edition: 3 VignetteBuilder: knitr BugReports: https://github.com/thisisamirv/loess-project/issues URL: https://github.com/thisisamirv/loess-project, https://thisisamirv.github.io/loess-project/r/ Config/rextendr/version: 0.5.0 Config/roxygen2/version: 8.1.1 Config/pak/sysreqs: libclang-dev Repository: https://thisisamirv.r-universe.dev Date/Publication: 2026-10-22 02:59:53 UTC RemoteUrl: https://github.com/thisisamirv/loess-project RemoteRef: HEAD RemoteSha: fe706fe1d914faa6b7a81bfcf7d59a5c36dbd2ff RemoteSubdir: bindings/r NeedsCompilation: yes Packaged: 2026-10-22 05:23:31 UTC; root Author: Amir Valizadeh [aut, cre] (ORCID: ) Maintainer: Amir Valizadeh