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robslopes  

Fast Algorithms for Robust Slopes
View on CRAN: Click here


Download and install robslopes package within the R console
Install from CRAN:
install.packages("robslopes")

Install from Github:
library("remotes")
install_github("cran/robslopes")

Install by package version:
library("remotes")
install_version("robslopes", "1.1.4")



Attach the package and use:
library("robslopes")
Maintained by
Jakob Raymaekers
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-01-27
Latest Update: 2023-04-27
Description:
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) and Matousek et. al (1998) . The implementations are detailed in Raymaekers (2023) and Raymaekers J., Dufey F. (2022) . All algorithms run in quasilinear time.
How to cite:
Jakob Raymaekers (2021). robslopes: Fast Algorithms for Robust Slopes. R package version 1.1.4, https://cran.r-project.org/web/packages/robslopes. Accessed 06 Mar. 2026.
Previous versions and publish date:
1.0.0 (2021-01-27 11:00), 1.0.1 (2021-02-04 19:10), 1.0.2 (2021-02-15 11:10), 1.1.0 (2022-02-24 13:00), 1.1.1 (2022-04-11 11:00), 1.1.2 (2022-09-15 19:26), 1.1.3 (2023-04-27 10:30)
Other packages that cited robslopes R package
View robslopes citation profile
Other R packages that robslopes depends, imports, suggests or enhances
Complete documentation for robslopes
Functions, R codes and Examples using the robslopes R package
Some associated functions: PassingBablok . RepeatedMedian . TheilSen . robslope . robslopefit . 
Some associated R codes: PassingBablok.R . RcppExports.R . RepeatedMedian.R . TheilSen.R . robslope.R .  Full robslopes package functions and examples
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