Model Selection and Multimodel Inference Based on (Q)AIC(c)
Computing AIC, AICc, QAIC, and QAICc
Compute AIC, AICc, QAIC, and QAICc from User-supplied Input
Defunct Functions in AICcmodavg Package
Model Selection and Multimodel Inference Based on (Q)AIC(c)
Create Model Selection Tables
Create Model Selection Tables from User-supplied Input Based on (Q)AIC...
Likelihood-Ratio Test Corrected for Overdispersion
Create Model Selection Tables Based on BIC
Create Model Selection Tables from User-supplied Input Based on (Q)BIC
Compute Model Selection Relative Frequencies
Estimate Dispersion for Poisson and Binomial GLM's and GLMM's
Check Convergence of Fitted Model
Identify Parameters with Large Standard Errors
Computing Confidence Set for the Kullback-Leibler Best Model
Compute Summary Statistics from Distance Sampling Data
Compute Summary Statistics from Count Histories
Compute Covariance Diagnostic for Lambda in N-mixture Models
Compute Summary Statistics from Detection Histories
Compute Summary Statistics from Time to Detection Data
Computing DIC
Create Model Selection Tables from Bayesian Analyses
Compute Evidence Ratio Between Two Models
Compute Condition Number
Extract Log-Likelihood of Model
Extract SE of Fixed Effects
Extract Predictors from Candidate Model List
Extract Distribution Family and Link Function
Create Model Selection Tables from User-supplied Information Criterion
Compute Importance Values of Variable
Compute MacKenzie and Bailey Goodness-of-fit Test for Single Season, D...
Compute Model-averaged Parameter Estimate (Multimodel Inference)
Various Utility Functions
Compute Model-averaged Parameter Estimate from User-supplied Input Bas...
Compute Model-averaged Effect Sizes (Multimodel Inference on Group Dif...
Compute Model-averaged Parameter Estimate from User-supplied Informati...
Compute Model-averaged Predictions
Compute Model-averaged Parameter Estimate with Shrinkage (Multimodel I...
Create Model Selection Tables based on Multiple Comparisons
Compute Chi-square Goodness-of-fit Test for N-mixture Models
Computing Predicted Values and Standard Errors
Display Model Summary Corrected for Overdispersion
Computing BIC or QBIC
Custom Computation of BIC and QBIC from User-supplied Input
Format Objects to LaTeX or HTML
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 quasi-likelihood 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', 'rjags', and 'jagsUI' 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.