backTransform-methods {unmarked} | R Documentation |
Methods for Function backTransform in Package ‘unmarked’
Description
Methods for function backTransform
in Package ‘unmarked’.
This converts from link-scale to original-scale
Usage
## S4 method for signature 'unmarkedFit'
backTransform(obj, type)
## S4 method for signature 'unmarkedEstimate'
backTransform(obj)
Arguments
obj |
Object of appropriate S4 class |
type |
one of names(obj), eg 'state' or 'det' |
Methods
- obj = "unmarkedEstimate"
Typically done internally
- obj = "unmarkedFit"
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).
- obj = "unmarkedLinComb"
Back-transform a predicted value created by
linearComb
. This is done internally bypredict
but can be done explicitly by user.
Examples
## Not run:
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 scale
## End(Not run)
[Package unmarked version 1.4.1 Index]