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 class 'unmarkedFit'
backTransform(obj, type)
# S4 method for class '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

if (FALSE) { # \dontrun{

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
} # }