Description Usage Arguments Value Author(s)
summary_rob
produces result summaries of the results of various model
fitting functions using as default heteroskedastic robust standard errors.
1 2 3 4 5 6 7 8 9 10 11 12 13 | summary_rob(object, ...)
## S3 method for class 'lm'
summary_rob(object, alpha = 0.05, type = c("HC1", "const",
"HC", "HC0", "HC2", "HC3", "HC4", "HC4m", "HC5"), omit_factor = NULL)
## S3 method for class 'glm'
summary_rob(object, alpha = 0.05, type = c("HC1", "const",
"HC", "HC0", "HC2", "HC3", "HC4", "HC4m", "HC5"))
## S3 method for class 'plm'
summary_rob(object, alpha = 0.05, cluster = FALSE,
type = c("HC1", "const", "HC", "HC0", "HC2", "HC3", "HC4", "HC4m", "HC5"))
|
object |
an object for which a summary is desired. |
alpha |
significance level for the Wald test. |
type |
the type of heteroskedastic robust variance estimator. |
omit_factor |
whether to omit factor in output. |
cluster |
for the plm method cluster standard errors at the individual level. |
A summary_rob
object.
Giuseppe Ragusa
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