Description Usage Arguments Details Value
An adaptation of the summary.lm
function from the stats
package. Documentation for all arguments can be found there, except for the robust
, cluster
, and type
options.
1 | .summary_robust(x, robust = FALSE, cluster = NULL, type = "HC1")
|
x |
an object of class "lm", usually, a result of a call to lm. |
robust |
logical; if TRUE, a heteroskedasticity-robust covariance matrix is used in the summary. |
cluster |
logical; if TRUE, a cluster-robust covaraiance matrix is sued in the summary. |
type |
character string that indicates the type of robust covariance matrix to use; defaults to HC1. |
The different types of robust estimators differ in their degrees-of-freedom corrections for finite sample bias. See vignette.
returns a summary.lm
object, in which the variance-covariance matrix is substituted (optionally) with a heteroskedasticity or cluster robust variance-covariance matrix estimator.
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