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| lmerTest-package | The package performs different kinds of tests on lmer objects, such as F tests of types I - III hypotheses for the fixed part, likelihood ratio tests for the random part, least squares means (population means) and differences of least squares means for the factors of the fixed part with corresponding plots. The package also provides with a function step, that preforms backward elimination of non-significant effects, starting from the random effects, and then fixed ones. |
| anova-method | Methods for function 'anova' in package 'lmerTest' |
| anova.merModLmerTest | Methods for function 'anova' in package 'lmerTest' |
| calcSatterth | F-test based on the Satterthwaite's approximation for denominator degrees of freedom. |
| carrots | Consumer preference mapping of carrots |
| difflsmeans | Calculates Differences of Least Squares Means and Confidence Intervals for the factors of a fixed part of mixed effects model of lmer object. |
| ham | Conjoint study of dry cured ham |
| lmer | Fit Linear Mixed-Effects Models |
| lmerTest | The package performs different kinds of tests on lmer objects, such as F tests of types I - III hypotheses for the fixed part, likelihood ratio tests for the random part, least squares means (population means) and differences of least squares means for the factors of the fixed part with corresponding plots. The package also provides with a function step, that preforms backward elimination of non-significant effects, starting from the random effects, and then fixed ones. |
| lsmeans | Calculates Least Squares Means and Confidence Intervals for the factors of a fixed part of mixed effects model of lmer object. |
| lsmeansLT | Calculates Least Squares Means and Confidence Intervals for the factors of a fixed part of mixed effects model of lmer object. |
| merModLmerTest-class | Mixed Model Representations |
| rand | Performs likelihood ratio test on random effects of linear mixed effects model. |
| step | Performs backward elimination of non-significant effects of linear mixed effects model: |
| summary-method | Methods for Function 'summary' in Package 'lmerTest' |
| summary.merModLmerTest | Methods for Function 'summary' in Package 'lmerTest' |
| TVbo | TV dataset |