testvar: Significance Test for Random Effects Calculates the p-value...
In RandiLGarcia/daticmlm: DATIC Workshop on Multilevel Modeling in R
Description
Significance Test for Random Effects
Calculates the p-value for the test of the slope variance and intercept-slope covariance using the likelihood ratio test method.
Usage
1
Arguments
outp
is the lmer model object.
p
is string of the variance component you want tested (place in double quotes).
testcov
is FALSE by default for the variance component. If testcov = TRUE, the function retuns the test of the intercept-component covariance.
RandiLGarcia/daticmlm documentation built on May 23, 2019, 1:09 p.m.
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Description
Significance Test for Random Effects
Calculates the p-value for the test of the slope variance and intercept-slope covariance using the likelihood ratio test method.
Usage
1 |
Arguments
outp |
is the lmer model object. |
p |
is string of the variance component you want tested (place in double quotes). |
testcov |
is FALSE by default for the variance component. If testcov = TRUE, the function retuns the test of the intercept-component covariance. |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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