Package: AICcmodavg
Type: Package
Title: Model selection and multimodel inference based on (Q)AIC(c)
Version: 1.24
Date: 2012-02-06
Author: Marc J. Mazerolle <marc.mazerolle@uqat.ca>.  Special thanks to
        T. Ergon for the original idea of storing candidate models in a
        list.
Maintainer: Marc J. Mazerolle <marc.mazerolle@uqat.ca>
Depends: methods, stats
Suggests: lme4, MASS, Matrix, nlme, nnet, unmarked, stats4
Description: 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 features functions to
        conduct classic model averaging (multimodel inference) for a
        given parameter of interest or predicted values, as well as a
        shrinkage version of model averaging parameter estimates. Other
        handy functions enable the computation of relative variable
        importance, evidence ratios, and confidence sets for the best
        model.  The present version works with linear models ('lm'
        class), generalized linear models ('glm' class), linear models
        fit by generalized least squares ('gls' class), linear mixed
        models ('lme' class), generalized linear mixed models ('mer'
        class), multinomial and ordinal logistic regressions
        ('multinom' and 'polr' classes), and nonlinear models ('nls'
        class).  The package also supports various models incorporating
        detection probabilities such as single-season occupancy models
        ('unmarkedFitOccu' class), multiple-season occupancy models
        ('unmarkedFitColExt' class), single-season heterogeneity models
        ('unmarkedFitOccuRN' class), single-season and multiple-season
        N-mixture models for repeated counts ('unmarkedFitPCount' and
        'unmarkedFitPCO' classes, respectively), and distance sampling
        models ('unmarkedFitDS' and 'unmarkedFitGDS' classes).
License: GPL (>= 2 )
LazyLoad: yes
Packaged: 2012-02-06 14:13:50 UTC; mazerolm
Repository: CRAN
Date/Publication: 2012-02-06 15:16:45
Built: R 2.13.2; ; 2012-02-25 02:04:04 UTC; windows
