Read in the ADMB covariance file.
The directory path to the folder containing the model.
(Numeric matrix) A covariance matrix (in bounded space) to write to file. This matrix will be read in by ADMB and can be used in subsequent calculations.
admodel.cov files are written
by ADMB during the optimization phase. The Hessian matrix contains the
second derivatives evaluated at the maximum likelihood estimates. The
inverse of the Hessian is the covariance matrix used to determine
standard errors and in the MCMC algorithm. The
is written even if the matrix is not invertible (not positive definite).
write functions return nothing, but have the side
effect of changing ADMB files (including creating a backup of the
get functions return a list of the number of
num.pars), the covariance or Hessian matrix in
unbounded space (
hes), the hybrid bounded flag
hybrid_bounded_flag) which controls which bounding functions are
used, and the
scales, which are the second derivatives of the
bounding functions evaluated at the MLE.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.