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testequavar  

Bootstrap Tests for Equality of 2, 3, or 4 Population Variances
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("testequavar", "0.1.5")



Attach the package and use:
library("testequavar")
Maintained by
Dexter Cahoy
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-08-20
Latest Update: 2023-08-23
Description:
Tests the hypothesisthat variances are homogeneous or not using bootstrap. The procedure uses a variance-based statistic, and is derived from a normal-theory test. The test equivalently expressed the hypothesis as a function of the log contrasts of the population variances. A box-type acceptance region is constructed to test the hypothesis. See Cahoy (2010) \doi{10.1016/j.csda.2010.04.012}.
How to cite:
Dexter Cahoy (2019). testequavar: Bootstrap Tests for Equality of 2, 3, or 4 Population Variances. R package version 0.1.5, https://cran.r-project.org/web/packages/testequavar. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1.2 (2019-08-20 11:30), 0.1.3 (2022-09-03 01:20), 0.1.4 (2023-08-23 05:40)
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Complete documentation for testequavar
Functions, R codes and Examples using the testequavar R package
Some associated functions: equa2vartest . equa3vartest . equa4vartest . testequavar . 
Some associated R codes: equal2var.R . equal3var.R . equal4var.R . testequavar.R .  Full testequavar package functions and examples
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