dummy.coef.lmm: Marginal Mean Values For Linear Mixed Model
In LMMstar: Repeated Measurement Models for Discrete Times
dummy.coef.lmm R Documentation
Marginal Mean Values For Linear Mixed Model
Description
Compute the marginal mean (via the emmeans package) for each combination of categorical covariates.
When there is no numeric covariate, this outputs all the mean values fitted by the model.
Usage
## S3 method for class 'lmm'
dummy.coef(object, drop = TRUE, ...)
Arguments
object
a lmm object.
drop
[logical] should combinations of covariates that do no exist in the original dataset be removed?
...
arguments passed to emmeans.
Value
A data.frame containing the level for which the means have been computed (if more than one),
the estimated mean (estimate), standard error (se), degree of freedom (df), and 95% confidence interval (lower and upper).
LMMstar documentation built on Nov. 9, 2023, 1:06 a.m.
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.
| dummy.coef.lmm | R Documentation |
Marginal Mean Values For Linear Mixed Model
Description
Compute the marginal mean (via the emmeans package) for each combination of categorical covariates. When there is no numeric covariate, this outputs all the mean values fitted by the model.
Usage
## S3 method for class 'lmm'
dummy.coef(object, drop = TRUE, ...)
Arguments
object |
a |
drop |
[logical] should combinations of covariates that do no exist in the original dataset be removed? |
... |
arguments passed to |
Value
A data.frame containing the level for which the means have been computed (if more than one),
the estimated mean (estimate), standard error (se), degree of freedom (df), and 95% confidence interval (lower and upper).
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.