JS.direct function

[Lee]

JS.direct()

in openCR

outputs estimates of N, p, B, etc, and their standard errors (non spatial estimation).

What is the best way of estimating 95% confidence intervals? We are especially interested in N (where 0<N< positive integer) and a normal assumption cannot be used and p.

Many thanks.

[Murray Efford]

JS.direct implements the traditional closed-form Jolly-Seber estimator - it's fast, simple and useful for comparison, but not something I expected people to use.

CI for JS estimates were originally just symmetrical +/- 2SE, truncated at 0 if necessary. Bryan Manly once published  way to get asymmetrical limits for N that I once implemented, but I have not seen it used by anyone else:

Manly, B.F.J. 1984. Obtaining Confidence Limits on Parameters of the Jolly-Seber Model for Capture-Recapture Data. Biometrics 40:749-758.

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