imputationCombine: Combine Results from Mixed Effect Imputation Models.
In petersenlab: A Collection of R Functions by the Petersen Lab
View source: R/imputationCombine.R
imputationCombine R Documentation
Combine Results from Mixed Effect Imputation Models.
Description
Function that combines lme results across multiple imputation runs.
Usage
imputationCombine(model, dig = 3)
Arguments
model
name of lme() model object with multiply imputed data.
dig
number of decimals to print in output.
Details
[INSERT].
Value
Summary of model fit and information for mixed effect imputation models.
See Also
Other multipleImputation:
imputationModelCompare(),
imputationPRV(),
lmCombine()
Examples
#INSERT
petersenlab documentation built on April 4, 2025, 12:22 a.m.
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View source: R/imputationCombine.R
| imputationCombine | R Documentation |
Combine Results from Mixed Effect Imputation Models.
Description
Function that combines lme results across multiple imputation runs.
Usage
imputationCombine(model, dig = 3)
Arguments
model |
name of |
dig |
number of decimals to print in output. |
Details
[INSERT].
Value
Summary of model fit and information for mixed effect imputation models.
See Also
Other multipleImputation:
imputationModelCompare(),
imputationPRV(),
lmCombine()
Examples
#INSERT
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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