Fast algorithms for the Theil-Sen estimator, Siegel's repeated median slope estimator, and Passing-Bablok regression. The implementation is based on algorithms by Dillencourt et. al (1992) <doi:10.1142/S0218195992000020> and Matousek et. al (1998) <doi:10.1007/PL00009190>. The implementations are detailed in Raymaekers (2023) <doi:10.32614/RJ-2023-012> and Raymaekers J., Dufey F. (2022) <doi:10.48550/arXiv.2202.08060>. All algorithms run in quasilinear time.
Version: 1.1.3 Imports: Rcpp (≥ 1.0.5) LinkingTo: Rcpp, RcppArmadillo Published: 2023-04-27 DOI: 10.32614/CRAN.package.robslopes Author: Jakob Raymaekers Maintainer: Jakob Raymaekers <j.raymaekers at maastrichtuniversity.nl> License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] NeedsCompilation: yes Citation: robslopes citation info CRAN checks: robslopes results Documentation: Reference manual: robslopes.pdf Downloads: Package source: robslopes_1.1.3.tar.gz Windows binaries: r-devel: robslopes_1.1.3.zip, r-release: robslopes_1.1.3.zip, r-oldrel: robslopes_1.1.3.zip macOS binaries: r-release (arm64): robslopes_1.1.3.tgz, r-oldrel (arm64): robslopes_1.1.3.tgz, r-release (x86_64): robslopes_1.1.3.tgz, r-oldrel (x86_64): robslopes_1.1.3.tgz Old sources: robslopes archive Reverse dependencies: Reverse depends: mcr, mcrPioda Reverse suggests: DanielBiostatistics10th Linking:Please use the canonical form https://CRAN.R-project.org/package=robslopes to link to this page.
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