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lmerTest: Tests in Linear Mixed Effects Models
Open accessAbstract
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.
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lmerTest Package: Tests in Linear Mixed Effects Models
Kuznetsova, A., Brockhoff, P. B., & Christensen, R. H. B. (2017) · Journal of Statistical Software · doi:10.18637/jss.v082.i13 · Cited by 24,346
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Metadata
- Authors
- Kuznetsova, A., Bruun Brockhoff, P., & Haubo Bojesen Christensen, R.
- Venue
- CRAN: Contributed Packages
- Publisher
- The R Foundation
- Published
- 2013-01-26
- OpenAlex
- W4399535033
- Cited by
- 1,234
- References
- 1
- Type
- dataset
- Language
- en
- Open access
- gold
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.