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lmerTest  

Tests in Linear Mixed Effects Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("lmerTest", "3.1-3")



Attach the package and use:
library("lmerTest")
Maintained by
Rune Haubo Bojesen Christensen
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-01-26
Latest Update: 2020-10-23
Description:
Provides p-values in type I, II or III anova and summary tables for lmer model fits (cf. lme4) via Satterthwaite's degrees of freedom method. A Kenward-Roger method is also available via the pbkrtest package. Model selection methods include step, drop1 and anova-like tables for random effects (ranova). Methods for Least-Square means (LS-means) and tests of linear contrasts of fixed effects are also available.
How to cite:
Rune Haubo Bojesen Christensen (2013). lmerTest: Tests in Linear Mixed Effects Models. R package version 3.1-3, https://cran.r-project.org/web/packages/lmerTest. Accessed 28 Jan. 2025.
Previous versions and publish date:
1.1-0 (2013-01-26 08:14), 1.2-0 (2013-03-20 09:28), 1.2-1 (2013-06-18 00:03), 2.0-0 (2013-09-21 10:00), 2.0-3 (2013-12-06 15:17), 2.0-6 (2014-02-24 09:53), 2.0-11 (2014-07-24 13:10), 2.0-20 (2014-11-22 00:10), 2.0-25 (2015-04-20 14:34), 2.0-28 (2015-07-14 16:05), 2.0-29 (2015-07-16 14:54), 2.0-30 (2016-02-12 01:07), 2.0-32 (2016-06-23 00:47), 2.0-33 (2016-12-03 10:53), 2.0-36 (2017-11-30 14:00), 3.0-0 (2018-04-16 21:57), 3.0-1 (2018-04-24 00:33), 3.1-0 (2019-02-11 09:50), 3.1-1 (2019-12-13 12:20), 3.1-2 (2020-04-08 18:10)
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