corrected_errors_lm: Computes a linear regression with standard errors corrected...
In jameshasbany/fastlm: Quick Checks and Visualizations for Linear Models
Description
Usage
Arguments
Value
Examples
Description
Computes a linear regression with standard errors corrected for
heteroskedasticity, using the
Usage
1
corrected_errors_lm(df, model, cluster_predictor, type = "HC")
Arguments
df
A dataframe R will pull the variables from to run the regression
model
A model object of class "lm" or a valid formula.
cluster_predictor
An (unquoted) variable to cluster the standard errors by.
type
An optional term for specifiying the estimator method, see vcovHC for options
Value
A data frame of model estimates.
Examples
1
corrected_errors_lm(mtcars, mpg ~ hp + wt, cyl)
jameshasbany/fastlm documentation built on July 26, 2020, 9:40 a.m.
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Description Usage Arguments Value Examples
Description
Computes a linear regression with standard errors corrected for heteroskedasticity, using the
Usage
1 | corrected_errors_lm(df, model, cluster_predictor, type = "HC")
|
Arguments
df |
A dataframe R will pull the variables from to run the regression |
model |
A model object of class "lm" or a valid formula. |
cluster_predictor |
An (unquoted) variable to cluster the standard errors by. |
type |
An optional term for specifiying the estimator method, see vcovHC for options |
Value
A data frame of model estimates.
Examples
1 | corrected_errors_lm(mtcars, mpg ~ hp + wt, cyl)
|
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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