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pbkrtest  

Parametric Bootstrap, Kenward-Roger and Satterthwaite Based Methods for Test in Mixed Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("pbkrtest", "0.5.3")



Attach the package and use:
library("pbkrtest")
Maintained by
Søren Højsgaard
[Scholar Profile | Author Map]
First Published: 2011-10-23
Latest Update: 2023-01-19
Description:
Computes p-values based on (a) Satterthwaite or Kenward-Rogers degree of freedom methods and (b) parametric bootstrap for mixed effects models as implemented in the 'lme4' package. Implements parametric bootstrap test for generalized linear mixed models as implemented in 'lme4' and generalized linear models. The package is documented in the paper by Halekoh and H
How to cite:
Søren Højsgaard (2011). pbkrtest: Parametric Bootstrap, Kenward-Roger and Satterthwaite Based Methods for Test in Mixed Models. R package version 0.5.3, https://cran.r-project.org/web/packages/pbkrtest. Accessed 02 May. 2025.
Previous versions and publish date:
0.1.0 (2011-10-23 17:40), 0.1.1 (2011-11-11 06:02), 0.1.2 (2011-12-04 10:26), 0.1.3 (2011-12-06 08:00), 0.2.0 (2011-12-30 17:26), 0.2.1 (2012-01-18 07:52), 0.3-1 (2012-04-24 13:10), 0.3-2 (2012-09-05 14:18), 0.3-3 (2012-11-20 23:01), 0.3-4 (2012-12-03 08:21), 0.3-5 (2013-07-03 15:48), 0.3-6 (2013-09-26 21:00), 0.3-7 (2013-10-03 11:20), 0.3-8 (2013-11-19 19:58), 0.3.0 (2012-02-18 08:05), 0.4-0 (2014-08-11 18:08), 0.4-1 (2014-09-11 15:03), 0.4-2 (2015-12-11 13:33), 0.4-3 (2015-12-11 19:53), 0.4-4 (2015-12-12 08:09), 0.4-5 (2016-01-20 09:12), 0.4-6 (2016-01-27 20:40), 0.4-7 (2017-03-15 08:49), 0.4-8.6 (2020-02-20 22:40), 0.5-0.1 (2020-12-18 08:30), 0.5.1 (2021-03-09 10:50), 0.5.2 (2023-01-19 19:00), 0.5.3 (2024-06-27 00:20)
Other packages that cited pbkrtest R package
View pbkrtest citation profile
Other R packages that pbkrtest depends, imports, suggests or enhances
Complete documentation for pbkrtest
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