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robslopes: Fast Algorithms for Robust Slopes

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.

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.
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