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 implementation of Passing-Bablok regression is explained in detail in Raymaekers J., Dufey F. (2022). Equivariant Passing-Bablok regression in quasilinear time. <arXiv:2202.08060>. All algorithms run in quasilinear time.

Version:	1.1.1
Imports:	Rcpp (≥ 1.0.5)
LinkingTo:	Rcpp, RcppArmadillo
Published:	2022-04-11
Author:	Jakob Raymaekers
Maintainer:	Jakob Raymaekers <j.raymaekers at maastrichtuniversity.nl>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	yes
CRAN checks:	robslopes results

Documentation:

Reference manual:

robslopes.pdf

Downloads:

Package source:	robslopes_1.1.1.tar.gz
Windows binaries:	r-devel: robslopes_1.1.1.zip, r-release: robslopes_1.1.1.zip, r-oldrel: robslopes_1.1.1.zip
macOS binaries:	r-release (arm64): robslopes_1.1.1.tgz, r-oldrel (arm64): robslopes_1.1.1.tgz, r-release (x86_64): robslopes_1.1.1.tgz, r-oldrel (x86_64): robslopes_1.1.1.tgz
Old sources:	robslopes archive

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