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relevance
View on CRAN: Click
here
Download and install relevance package within the R console
Install from CRAN:
install.packages("relevance")
Install from Github:
library("remotes")
install_github("cran/relevance")
Install by package version:
library("remotes")
install_version("relevance", "2.1")
Attach the package and use:
library("relevance")
Maintained by
Werner A. Stahel
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-04-01
Latest Update: 2023-05-01
Description:
Calculates relevance and significance values for simple models and for many types of regression models. These are introduced in 'Stahel, Werner A.' (2021) "Measuring Significance and Relevance instead of p-values." <https://stat.ethz.ch/~stahel/relevance/stahel-relevance2103.pdf>. These notions are also applied to replication studies, as described in the manuscript 'Stahel, Werner A.' (2022) "'Replicability': Terminology, Measuring Success, and Strategy" available in the documentation.
How to cite:
Werner A. Stahel (2021). relevance: Calculate Relevance and Significance Measures. R package version 2.1, https://cran.r-project.org/web/packages/relevance
Previous versions and publish date:
Other packages that cited relevance R package
View relevance citation profile
Other R packages that relevance depends,
imports, suggests or enhances
Functions, R codes and Examples using
the relevance R package
Some associated functions: asinp . confintF . correlation . d.blast . d.everest . d.negposChoice . d.osc15 . d.osc15Onesample . drop1Wald . dropNA . dropdata . formatNA . getcoeftable . inference . last . logst . ovarian . plconfint . plot.inference . print.inference . relevance-internal . relevance-package . relevance.options . replication . rlvClass . rplClass . shortenstring . showd . sumNA . termeffects . termtable . twosamples .
Some associated R codes: auxfns.R . checkfns.R . generalfns.R . regrfns.R . relevance.R . replication.R . Full relevance package functions and examples
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