lmCombine: Combine Results from Multiple Regression Imputation Models.
In petersenlab: A Collection of R Functions by the Petersen Lab
lmCombine R Documentation
Combine Results from Multiple Regression Imputation Models.
Description
Function that combines lm() results across multiple imputation runs.
Usage
lmCombine(model, dig = 3)
Arguments
model
name of lm() model object with multiply imputed data.
dig
number of decimals to print in output.
Details
[INSERT].
Value
Summary of multiple regression imputation models.
See Also
Other multipleImputation:
imputationCombine(),
imputationModelCompare(),
imputationPRV()
Other multipleRegression:
plot2WayInteraction(),
ppPlot(),
semPlotInteraction(),
update_nested()
Examples
#INSERT
petersenlab documentation built on April 4, 2025, 12:22 a.m.
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| lmCombine | R Documentation |
Combine Results from Multiple Regression Imputation Models.
Description
Function that combines lm() results across multiple imputation runs.
Usage
lmCombine(model, dig = 3)
Arguments
model |
name of |
dig |
number of decimals to print in output. |
Details
[INSERT].
Value
Summary of multiple regression imputation models.
See Also
Other multipleImputation:
imputationCombine(),
imputationModelCompare(),
imputationPRV()
Other multipleRegression:
plot2WayInteraction(),
ppPlot(),
semPlotInteraction(),
update_nested()
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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