Package: robslopes 1.1.4

Jakob Raymaekers

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.

Authors:Jakob Raymaekers [aut, cre]

robslopes_1.1.4.tar.gz
robslopes_1.1.4.tar.gz(r-4.7-arm64)robslopes_1.1.4.tar.gz(r-4.7-x86_64)robslopes_1.1.4.tar.gz(r-4.6-arm64)robslopes_1.1.4.tar.gz(r-4.6-x86_64)
robslopes_1.1.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
robslopes/json (API)

# Install 'robslopes' in R:
install.packages('robslopes', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

2.70 score 8 packages 4 scripts 2.1k downloads 5 exports 2 dependencies

Last updated from:1e7d725ecf. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK140
linux-devel-x86_64OK127
source / vignettesOK169
linux-release-arm64OK141
linux-release-x86_64OK137
wasm-releaseOK125

Exports:PassingBablokRepeatedMedianrobsloperobslope.fitTheilSen

Dependencies:RcppRcppArmadillo