RobustLinearReg

cranv1.2.0

Robust Linear Regressions. Provides an easy way to compute the Theil Sehn Regression method and also the Siegel Regression Method which are both robust methods base on the median of slopes between all pairs of data. In contrast with the least squared linear regression, these methods are not sensitive to outliers. Theil, H. (1

License GPL-3strong copyleft0 versions1 maintainers0 deps103 weekly dl
https://CRAN.R-project.org/package=RobustLinearReg
42
/ 100
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safe to use

[email protected] is safe to use (health: 42/100)

Health breakdown0 – 100
0/25
maintenance
3/20
popularity
25/25
security
12/15
maturity
2/15
community
Vulnerabilities
0
none known

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First published · 2020-06-12 11:14:28

Last updated · 2020-06-12T09:20:05+00:00

RobustLinearReg — Health Score 42/100 | DepScope