ic.wghts: Information criterion model weights
In zkurtz/lllcrc: Local Log-linear Models for Capture-Recapture

Description Usage Arguments Details Value Author(s) References

Compute model weights according to the information criterion scores of each model.

1	ic.wghts(scores)

scores

The information criterion scores.

The formula is quite simple: Identify the smallest (best) score among the various models. Subtract this minimum value from all of the scores, and call the resulting set of scores $s$. Compute exp(-0.5 s) for all the scores, and normalize the resulting vector to obtain the vector of model weights

A vector of weights, which can be interpreted (loosely) as the relative desireability of the models corresponding to the weights

Zach Kurtz

Burnham and Anderson (2002)

zkurtz/lllcrc documentation built on May 31, 2019, 12:14 p.m.