vcovCR.rma.uni {clubSandwich} | R Documentation |
vcovCR
returns a sandwich estimate of the variance-covariance matrix
of a set of regression coefficient estimates from a
rma.uni
object.
## S3 method for class 'rma.uni' vcovCR(obj, cluster, type, target, inverse_var, form = "sandwich", ...)
obj |
Fitted model for which to calculate the variance-covariance matrix |
cluster |
Expression or vector indicating which observations
belong to the same cluster. Required for |
type |
Character string specifying which small-sample adjustment should
be used, with available options |
target |
Optional matrix or vector describing the working
variance-covariance model used to calculate the |
inverse_var |
Optional logical indicating whether the weights used in
fitting the model are inverse-variance. 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.
library(metafor) data(corrdat, package = "robumeta") mfor_fit <- rma.uni(effectsize ~ males + college + binge, vi = var, data = corrdat, method = "FE") mfor_fit mfor_CR2 <- vcovCR(mfor_fit, type = "CR2", cluster = corrdat$studyid) mfor_CR2 coef_test(mfor_fit, vcov = mfor_CR2, test = c("Satterthwaite", "saddlepoint")) Wald_test(mfor_fit, constraints = 2:4, vcov = mfor_CR2)