summary-methods
(Package: lmerTest) :
Methods for Function code{summary
Methods for function summary in package lmerTest
● Data Source:
CranContrib
● Keywords: methods
● Alias: summary,merModLmerTest-method, summary.merModLmerTest
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The package provides anova function, that gives data frame similar to what gives lme4 package but with p -values calculated from F statistics of types I - III hypotheses. There are two options for denominator degrees of freedom of F statistics: "Satterthwaite" and "Kenward-Roger". The calculation of anova with Kenward-Roger's approximation is based on function from pbkrtest package, the calculation of Satterthwaite's approximation is based on SAS proc mixed theory (see reference). The package also provides summary function, which gives the same as lme4 package summary function but with p -values and degrees of freedom added for the t -test (based on Satterthwaite approximation for denominator degrees of freedom). The tests on random effects are performed using likelihood ratio tests.
● Data Source:
CranContrib
● Keywords:
● Alias: lmerTest, lmerTest-package
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Produces a data frame which resembles to what SAS software gives in proc mixed statement. The approximation of degrees of freedom is Satterthwate's.
● Data Source:
CranContrib
● Keywords:
● Alias: lsmeans
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Returns a data frame with values of Chi square statistics and corresponding p-values of likelihood ratio tests.
● Data Source:
CranContrib
● Keywords:
● Alias: rand
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performs automatic backward elimination of all effects of linear mixed effect model. First backward elimination of the random part is performed following by backward elimination of the fixed part. Finally LSMEANS (population means) and differences of LSMEANS for the fixed part of the model are calculated and the final model is provided. The p -values for the fixed effects are calculated from F test based on Sattethwaite's or Kenward-Roger approximation), p -values for the random effects are based on likelihood ratio test. All analysis may be performed on lmer object of lme4 package.
● Data Source:
CranContrib
● Keywords:
● Alias: step
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lmer
(Package: lmerTest) :
Fit Linear Mixed-Effects Models
Fit a linear mixed model
● Data Source:
CranContrib
● Keywords: methods, models
● Alias: lmer
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Produces a list with the values for an approximate F-test based on the Satterthwaite's approximation.
● Data Source:
CranContrib
● Keywords: function
● Alias: calcSatterth
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The merModLmerTest contains merMod class of lme4 package and overloads anova and summary functions.
● Data Source:
CranContrib
● Keywords: classes
● Alias: merModLmerTest-class
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Produces a data frame which resembles to what SAS software gives in proc mixed statement. The approximation for degrees of freedom is Satterthwaite's.
● Data Source:
CranContrib
● Keywords:
● Alias: difflsmeans
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anova-methods
(Package: lmerTest) :
Methods for function code{anova
Methods for Function anova in Package lmerTest
● Data Source:
CranContrib
● Keywords: methods
● Alias: anova,ANY-method, anova,merModLmerTest-method, anova.merModLmerTest
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