| predict.cjs {mra} | R Documentation |
predict.cjs
Description
Predictor method for CJS capture-recapture objects. Return expected values for all active cells in the model.
Usage
## S3 method for class 'cjs'
predict(object, ...)
Arguments
object |
CJS capture-recapture model as output from F.cjs.estim |
... |
Additional arguments to other functions. Not used, but must be here
for compatibility with the generic |
Details
The only components of cjsobj needed are $histories, $p.hat, $s.hat
Value
A nan X ns matrix of fitted values (=cell expected value), where
nan=number of animals and ns=number of samples. Fitted values in the
non-active cells are set to NA. Non-active
cells are those prior to and including the initial capture, and after
the occasion on which an animal is known to have died. Computation of
expected values is described in the details section of the help file
for F.cjs.gof.
Author(s)
Trent McDonald, WEST Inc., tmcdonald@west-inc.com
See Also
Examples
# Fit CJS model to dipper data, time-varying capture and survivals.
data(dipper.histories)
xy <- F.cjs.covars( nrow(dipper.histories), ncol(dipper.histories) )
for(j in 1:ncol(dipper.histories)){ assign(paste("x",j,sep=""), xy$x[,,j]) }
dipper.cjs <- F.cjs.estim( ~x2+x3+x4+x5+x6, ~x1+x2+x3+x4+x5, dipper.histories )
dipper.expected <- predict(dipper.cjs)