robust_sig_test: Perform heteroskedasticity robust significance tests
In AlexHartmann00/lmmadd: Functions for Linear Mixed Models
View source: R/robust_sig_test.R
robust_sig_test R Documentation
Perform heteroskedasticity robust significance tests
Description
Performs heteroskedasticity-robust t-tests for coefficients in a (generalized) linear (mixed) model.
Usage
robust_sig_test(object, type = "HC1")
Arguments
object
Model object of type "lm", "glm", "lmer", "glmer", "nlme"
type
Specifies which model to use for calculating HC standard errors. Can be any of "HC1","HC3"
AlexHartmann00/lmmadd documentation built on Aug. 16, 2022, 8:19 a.m.
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View source: R/robust_sig_test.R
| robust_sig_test | R Documentation |
Perform heteroskedasticity robust significance tests
Description
Performs heteroskedasticity-robust t-tests for coefficients in a (generalized) linear (mixed) model.
Usage
robust_sig_test(object, type = "HC1")
Arguments
object |
Model object of type "lm", "glm", "lmer", "glmer", "nlme" |
type |
Specifies which model to use for calculating HC standard errors. Can be any of "HC1","HC3" |
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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