"vcov"(object, ..., what="vcov", err="fatal")"mppm").
vcov.ppm.
"vcov" for the variance-covariance matrix,
"corr" for the correlation matrix, and "fisher"
for the Fisher information matrix.
"fatal", "warn" or "null".
NA or NULL).
vcov.ppm for suggestions on how to handle this.vcov.
The argument object should be a fitted multiple point process
model (object of class "mppm") generated by mppm.
The variance-covariance matrix of the parameter estimates
is computed using asymptotic theory for maximum likelihood
(for Poisson processes) or estimating equations (for other Gibbs models).
If what="vcov" (the default), the variance-covariance matrix
is returned.
If what="corr", the variance-covariance matrix is normalised
to yield a correlation matrix, and this is returned.
If what="fisher", the Fisher information matrix is returned instead. In all three cases, the rows and columns of the matrix correspond
to the parameters (coefficients) in the same order as in
coef{model}.
If errors or numerical problems occur, the
argument err determines what will happen. If
err="fatal" an error will occur. If err="warn"
a warning will be issued and NA will be returned.
If err="null", no warning is issued, but NULL is returned.
vcov, vcov.ppm,
mppm
fit <- mppm(Wat ~x, data=hyperframe(Wat=waterstriders))
vcov(fit)
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