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AICcmodavg (version 2.3-3)

Model Selection and Multimodel Inference Based on (Q)AIC(c)

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 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.

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Version

Install

install.packages('AICcmodavg')

Monthly Downloads

9,684

Version

2.3-3

License

GPL (>= 2)

Maintainer

Marc J Mazerolle

Last Published

November 16th, 2023

Functions in AICcmodavg (2.3-3)

Create Model Selection Tables

Compute AIC, AICc, QAIC, and QAICc from User-supplied Input

Create Model Selection Tables from User-supplied Input Based on (Q)AIC(c)

Compute Chi-square Goodness-of-fit Test for N-mixture Models

AICcmodavg-package

Model Selection and Multimodel Inference Based on (Q)AIC(c)

Flour Beetle Data

Computing AIC, AICc, QAIC, and QAICc

AICcmodavg-defunct

Defunct Functions in AICcmodavg Package

Likelihood-Ratio Test Corrected for Overdispersion

Check Convergence of Fitted Model

Create Model Selection Tables from User-supplied Input Based on (Q)BIC

Blood Calcium Concentration in Birds

Estimate Dispersion for Poisson and Binomial GLM's and GLMM's

Computing Confidence Set for the Kullback-Leibler Best Model

Heat Expended Following Hardening of Portland Cement

Bullfrog Occupancy and Common Reed Invasion

Compute Model Selection Relative Frequencies

Identify Parameters with Large Standard Errors

Create Model Selection Tables Based on BIC

Compute Evidence Ratio Between Two Models

Compute Summary Statistics from Distance Sampling Data

Compute Condition Number

Frog Dehydration Experiment on Three Substrate Types

Compute Covariance Diagnostic for Lambda in N-mixture Models

Compute Summary Statistics from Time to Detection Data

Compute Summary Statistics from Count Histories

Compute Summary Statistics from Detection Histories

Extract Log-Likelihood of Model

Create Model Selection Tables from Bayesian Analyses

Iron Content in Food

Habitat Preference of Lizards

Extract Predictors from Candidate Model List

GPA Data and Standardized Test Scores

Fat Data and Body Measurements

Extract Distribution Family and Link Function

Create Model Selection Tables from User-supplied Information Criterion

Extract SE of Fixed Effects

Compute Importance Values of Variable

Compute MacKenzie and Bailey Goodness-of-fit Test for Single Season, Dynamic, and Royle-Nichols Occupancy Models

Compute Model-averaged Predictions

Compute Model-averaged Parameter Estimate with Shrinkage (Multimodel Inference)

Anuran Larvae Counts in Minnow Traps Across Pond Type

Various Utility Functions

Create Model Selection Tables based on Multiple Comparisons

Compute Model-averaged Effect Sizes (Multimodel Inference on Group Differences)

Compute Model-averaged Parameter Estimate from User-supplied Information Criterion

Compute Model-averaged Parameter Estimate (Multimodel Inference)

Compute Model-averaged Parameter Estimate from User-supplied Input Based on (Q)AIC(c)

Newt Capture-mark-recapture Data

Gopher Tortoise Distance Sampling Data

Turkey Weight Gain

Computing BIC or QBIC

Format Objects to LaTeX or HTML

Custom Computation of BIC and QBIC from User-supplied Input

Strength of Pine Wood Based on the Density Adjusted for Resin Content

Computing Predicted Values and Standard Errors

Salamander Capture-mark-recapture Data

Display Model Summary Corrected for Overdispersion