In maxwestphal/SEPM: Statistical Evaluation of Prediction Models
SEPM: Statistical Evaluation of Prediction Models
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Overview
This R package allows to conduct statistical inference (hypotheses testing and
construction of confidence/comparison regions) regarding the unknown performances of multiple
(machine-learned) prediction models.
NOTE: This package is no longer maintained!
Installation
This package can be installed from GitHub with the following command
remotes::install_github("maxwestphal/SEPM")
Details
Several simulation studies and real data examples are described at https://maxwestphal.github.io/SEPM.PUB/.
The main goal of this package is to ensure that these numerical experiments can be reproduced.
maxwestphal/SEPM documentation built on April 12, 2024, 12:09 a.m.
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SEPM: Statistical Evaluation of Prediction Models
r badger::badge_devel(color="blue")
r badger::badge_cran_release(color="orange")
r badger::badge_github_actions(action="R-CMD-check")
Overview
This R package allows to conduct statistical inference (hypotheses testing and construction of confidence/comparison regions) regarding the unknown performances of multiple (machine-learned) prediction models.
NOTE: This package is no longer maintained!
Installation
This package can be installed from GitHub with the following command
remotes::install_github("maxwestphal/SEPM")
Details
Several simulation studies and real data examples are described at https://maxwestphal.github.io/SEPM.PUB/.
The main goal of this package is to ensure that these numerical experiments can be reproduced.
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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