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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 |
| Reference manual: | robslopes.pdf |
| 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 depends: | mcr, mcrPioda |
| Reverse suggests: | DanielBiostatistics10th |
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