Package ‘ AICcmodavg ’ November 18 , 2016

November 18, 2016 Type Package Title Model Selection and Multimodel Inference Based on (Q)AIC(c) Version 2.1-0 Date 2016-11-17 Author Marc J. Mazerolle . Maintainer Marc J. Mazerolle Depends R (>= 3.0.0) Imports methods, stats, graphics, lattice, MASS, Matrix, nlme, stats4, survival, unmarked, VGAM, xtable Suggests betareg, coxme, fitdistrplus, lavaan, lme4, maxlike, nnet, ordinal, pscl, R2jags, R2OpenBUGS, R2WinBUGS Description Functions to implement model selection and multimodel inference based on Akaike's information criterion (AIC) and the second-order AIC (AICc), as well as their quasilikelihood counterparts (QAIC, QAICc) from various model object classes. The package implements classic model averaging for a given parameter of interest or predicted values, as well as a shrinkage version of model averaging parameter estimates or effect sizes. The package includes diagnostics and goodness-of-fit statistics for certain model types including those of 'unmarkedFit' classes estimating demographic parameters after accounting for imperfect detection probabilities. Some functions also allow the creation of model selection tables for Bayesian models of the 'bugs' and 'rjags' classes. Functions also implement model selection using BIC. Objects following model selection and multimodel inference can be formatted to LaTeX using 'xtable' methods included in the package. License GPL (>= 2) LazyLoad yes Repository CRAN NeedsCompilation no Date/Publication 2016-11-18 10:57:53