lmerTest
Tests in Linear Mixed Effects Models
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.
- Version3.1-3
- R version≥ 3.2.5
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- lmerTest citation info
- Last release10/23/2020
Documentation
Team
Rune Haubo Bojesen Christensen
Alexandra Kuznetsova
Show author detailsRolesAuthorPer Bruun Brockhoff
Show author detailsRolesAuthor, Thesis advisorSofie Pødenphant Jensen
Show author detailsRolesContributor
Insights
Last 30 days
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Depends3 packages
- Imports3 packages
- Suggests1 package
- Reverse Depends2 packages
- Reverse Imports49 packages
- Reverse Suggests36 packages
- Reverse Enhances2 packages