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Taba
View on CRAN: Click
here
Download and install Taba package within the R console
Install from CRAN:
install.packages("Taba")
Install from Github:
library("remotes")
install_github("cran/Taba")
Install by package version:
library("remotes")
install_version("Taba", "1.0.0")
Attach the package and use:
library("Taba")
Maintained by
Derek Wilus
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-01-18
Latest Update: 2021-03-31
Description:
Calculates the robust Taba linear, Taba rank (monotonic), TabWil, and TabWil rank correlations. Test statistics as well as one sided or two sided p-values are provided for all correlations. Multiple correlations and p-values can be calculated simultaneously across multiple variables. In addition, users will have the option to use the partial, semipartial, and generalized partial correlations; where the partial and semipartial correlations use linear, logistic, or Poisson regression to modify the specified variable.
How to cite:
Derek Wilus (2020). Taba: Taba Robust Correlations. R package version 1.0.0, https://cran.r-project.org/web/packages/Taba. Accessed 10 Apr. 2025.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for Taba
Functions, R codes and Examples using
the Taba R package
Some associated functions: taba.gpartial . taba.matrix . taba . taba.partial . taba.test .
Some associated R codes: Taba.R . TabaGpartial.R . TabaMatrix.R . TabaPartial.R . TabaTest.R . Full Taba package functions and examples
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