vcovCR
returns a sandwich estimate of the variancecovariance matrix
of a set of regression coefficient estimates from a
robu
object.
1 2 3 
obj 
Fitted model for which to calcualte the variancecovariance matrix 
cluster 
Optional expression or vector indicating which observations
belong to the same cluster. If not specified, will be set to the

type 
Character string specifying which smallsample adjustment should be used. 
target 
Optional matrix or vector describing the working
variancecovariance model used to calculate the 
inverse_var 
Optional logical indicating whether the weights used in
fitting the model are inversevariance. If not specified, 
form 
Controls the form of the returned matrix. The default

... 
Additional arguments available for some classes of objects. 
An object of class c("vcovCR","clubSandwich")
, which consists
of a matrix of the estimated variance of and covariances between the
regression coefficient estimates.
1 2 3 4 5 6 7 8 9 10 11 12 13 14  library(robumeta)
data(hierdat)
robu_fit < robu(effectsize ~ binge + followup + sreport + age,
data = hierdat, studynum = studyid,
var.eff.size = var, modelweights = "HIER")
robu_fit
robu_CR2 < vcovCR(robu_fit, type = "CR2")
robu_CR2
coef_test(robu_fit, vcov = robu_CR2, test = c("Satterthwaite", "saddlepoint"))
Wald_test(robu_fit, constraints = c(2,4), vcov = robu_CR2)
Wald_test(robu_fit, constraints = 2:5, vcov = robu_CR2)

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.
Please suggest features or report bugs with the GitHub issue tracker.
All documentation is copyright its authors; we didn't write any of that.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.