Methods for Function backTransform in Package ‘unmarked’
Methods for function backTransform in Package ‘unmarked’.
This converts from link-scale to original-scale
## S4 method for signature 'unmarkedFit' backTransform(obj, type) ## S4 method for signature 'unmarkedEstimate' backTransform(obj)
obj |
Object of appropriate S4 class |
type |
one of names(obj), eg 'state' or 'det' |
Typically done internally
Back-transform a parameter from a fitted model. Only possible if no covariates are present. Must specify argument type as one of the values returned by names(obj).
Back-transform a predicted value created by
linearComb. This is done internally by predict but
can be done explicitly by user.
data(mallard)
mallardUMF <- unmarkedFramePCount(mallard.y, siteCovs = mallard.site,
obsCovs = mallard.obs)
(fm <- pcount(~ 1 ~ forest, mallardUMF)) # Fit a model
backTransform(fm, type="det") # This works because there are no detection covariates
#backTransform(fm, type="state") # This doesn't work because covariates are present
lc <- linearComb(fm, c(1, 0), type="state") # Estimate abundance on the log scale when forest=0
backTransform(lc) # Abundance on the original scalePlease choose more modern alternatives, such as Google Chrome or Mozilla Firefox.