Variance-covariance matrix of beta or real parameters from fitted secr model.
# S3 method for secr
vcov(object, realnames = NULL, newdata = NULL,
byrow = FALSE, ...)
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.
secr object output from the function secr.fit
vector of character strings for names of `real' parameters
dataframe of predictor values
logical for whether to compute covariances among `real' parameters for each row of new data, or among rows for each real parameter
other arguments (not used)
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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