backTransform-methods: Methods for Function backTransform in Package 'unmarked'

In rbchan/unmarked: Models for Data from Unmarked Animals

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 by predict 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)

rbchan/unmarked documentation built on April 3, 2024, 10:11 p.m.