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Extract variance-covariance matrix from TRIM output
# S3 method for trim vcov(object, which = c("imputed", "fitted"), ...)
TRIM output structure (i.e., output of a call to trim)
trim
[character] Selector to distinguish between variance-covariance based on the imputed counts (default), or the fitted counts.
[character]
Arguments to pass to or from other methods (currently unused; included for consistency with vcov).
vcov
a J x J matrix, where J is the number of years (or time-points).
Other analyses: coef.trim(), confint.trim(), gof(), index(), now_what(), overall(), overdispersion(), plot.trim.index(), plot.trim.overall(), results(), serial_correlation(), summary.trim(), totals(), trim(), wald()
coef.trim()
confint.trim()
gof()
index()
now_what()
overall()
overdispersion()
plot.trim.index()
plot.trim.overall()
results()
serial_correlation()
summary.trim()
totals()
trim()
wald()
# NOT RUN { data(skylark) z <- trim(count ~ site + time, data=skylark, model=3); totals(z) vcv1 <- vcov(z) # Use imputed data vcv2 <- vcov(z,"fitted") # Use fitted data # }
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