# S3 method for secr
vcov(object, realnames = NULL, newdata = NULL,
byrow = FALSE, ...)
secr.fit
A matrix containing the variances and covariances among beta parameters
on the respective link scales, or a list of among-parameter variance-covariance
matrices, one for each row of newdata
, or a list of among-row variance-covariance
matrices, one for each `real' parameter.
By default, returns the matrix of variances and covariances among the estimated model coefficients (beta parameters).
If realnames
and newdata
are specified, the result is
either a matrix of variances and covariances for each `real' parameter
among the points in predictor-space given by the rows of newdata
or among real parameters for each row of newdata
. Failure to
specify newdata
results in a list of variances only.
vcov
, secr.fit
, print.secr
## previously fitted secr model
vcov(secrdemo.0)
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