robust_vcov: Compute HC variance-covariance matrix
In AlexHartmann00/lmmadd: Functions for Linear Mixed Models
View source: R/robust_vcov.R
View source: R/Robust_SE.R
robust_vcov R Documentation
Compute HC variance-covariance matrix
Description
Computes heteroskedasticity robust covariance matrix
Usage
robust_vcov(object, modelmat = NULL, type = "HC1")
Arguments
object
Model object of type "lm", "glm", "lmer", "glmer", "nlme", "lme"
modelmat
Model matrix, required only if model is of none of the allowed classes
type
Any of "HC1", "HC3", indicating method for calculating HC variance-covariance matrix
Value
Covariance matrix
AlexHartmann00/lmmadd documentation built on Aug. 16, 2022, 8:19 a.m.
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View source: R/robust_vcov.R View source: R/Robust_SE.R
| robust_vcov | R Documentation |
Compute HC variance-covariance matrix
Description
Computes heteroskedasticity robust covariance matrix
Usage
robust_vcov(object, modelmat = NULL, type = "HC1")
Arguments
object |
Model object of type "lm", "glm", "lmer", "glmer", "nlme", "lme" |
modelmat |
Model matrix, required only if model is of none of the allowed classes |
type |
Any of "HC1", "HC3", indicating method for calculating HC variance-covariance matrix |
Value
Covariance matrix
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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