pine

This data set consists of the strength of pine wood as a function of
density or density adjusted for resin content.

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)

pine function

Burnham, K. P., Anderson, D. R. (2002) Model Selection and
 Multimodel Inference: a practical information-theoretic
 approach. Second edition. Springer: New York. Carlin, B. P., Chib, S. (1995) Bayesian model choice via Markov chain
 Monte Carlo methods. Journal of the Royal Statistical Society, 
 Series B 57, 473--484.

pine: Strength of pine wood based on the density adjusted for resin content.

Description

Usage

Arguments

source

Details

Examples