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mcBFtest  

Monte Carlo Based Tests for the Behrens Fisher Problem as an Alternative to Welch"s t-Approximation
View on CRAN: Click here


Download and install mcBFtest package within the R console
Install from CRAN:
install.packages("mcBFtest")

Install from Github:
library("remotes")
install_github("cran/mcBFtest")

Install by package version:
library("remotes")
install_version("mcBFtest", "0.1.0")



Attach the package and use:
library("mcBFtest")
Maintained by
You-Gan Wang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-03-15
Latest Update: 2023-08-11
Description:
Monte Carol based tests for the Behrens Fisher Problem enhance the statistical powerand performs better than Welchs t-approximation see Ullah et al. 2019.
How to cite:
You-Gan Wang (2019). mcBFtest: Monte Carlo Based Tests for the Behrens Fisher Problem as an Alternative to Welch"s t-Approximation. R package version 0.1.0, https://cran.r-project.org/web/packages/mcBFtest. Accessed 01 May. 2025.
Previous versions and publish date:
0.1.0 (2019-03-15 18:20)
Other packages that cited mcBFtest R package
View mcBFtest citation profile
Other R packages that mcBFtest depends, imports, suggests or enhances
Functions, R codes and Examples using the mcBFtest R package
Some associated functions: MC-internal . mcBFtest . 
Some associated R codes: MC-internal.R . mcBFtest.R .  Full mcBFtest package functions and examples
Downloads during the last 30 days
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