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README.md
In RRPP: Linear Model Evaluation with Randomized Residuals in a Permutation Procedure
RRPP
RRPP is a software package for evaluating linear models with residual randomization in a permutation procedure. S3 Generic used for the lm function can also be used with lm.rrpp, with the chief difference being that lm coefficients, fitted values, and residuals are estimated many times with random permutations of data.
To install the current RRPP R-package from CRAN:
Within R:
install.packages("RRPP")
To install the current version of the RRPP R-package from Github using devtools:
Within R:
install.packages("devtools")
devtools::install_github("mlcollyer/RRPP")
The version on github is updated regularly, especially if errors or programming bugs are discovered.
Try the RRPP package in your browser
Any scripts or data that you put into this service are public.
RRPP documentation built on June 22, 2024, 6:45 p.m.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
RRPP
RRPP is a software package for evaluating linear models with residual randomization in a permutation procedure. S3 Generic used for the lm function can also be used with lm.rrpp, with the chief difference being that lm coefficients, fitted values, and residuals are estimated many times with random permutations of data.
To install the current RRPP R-package from CRAN:
Within R:
install.packages("RRPP")
To install the current version of the RRPP R-package from Github using devtools:
Within R:
install.packages("devtools")
devtools::install_github("mlcollyer/RRPP")
The version on github is updated regularly, especially if errors or programming bugs are discovered.
Try the RRPP package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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