min.trap

This data set consists of counts of anuran larvae as a function of pond
type, pond perimeter, and presence of water scorpions (Ranatra sp.).

datasets

This package includes functions to create model selection
        tables based on Akaike's information criterion (AIC) and the
        second-order AIC (AICc), as well as their quasi-likelihood
        counterparts (QAIC, QAICc).  Tables are printed with delta AIC
        and Akaike weights.  The package also includes functions to
        conduct model averaging (multimodel inference) for a given
        parameter of interest or predicted values.  Other handy
        functions enable the computation of relative variable
        importance, evidence ratios, and confidence sets for the best
        model. The present version works with lm, glm, and lme object
        classes.

Marc J Mazerolle

AICcmodavg

Model selection and multimodel inference based on (Q)AIC(c)

min.trap function

Mazerolle, M. J. (2006) Improving data analysis in herpetology: using
Akaike's Information Criterion (AIC) to assess the strength of
biological hypotheses. Amphibia-Reptilia 27, 169--180.

min.trap: Anuran larvae counts in minnow traps across pond type.

Description

Usage

Arguments

source

Details

Examples