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AICcmodavg (version 2.3-1)

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

8,098

Version

2.3-1

License

GPL (>= 2)

Last Published

August 26th, 2020

Functions in AICcmodavg (2.3-1)

aictab

Create Model Selection Tables
AICcCustom

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

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

Computing DIC
Nmix.gof.test

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

Likelihood-Ratio Test Corrected for Overdispersion
AICcmodavg-defunct

Defunct Functions in AICcmodavg Package
AICc

Computing AIC, AICc, QAIC, and QAICc
AICcmodavg-package

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

Flour Beetle Data
checkParms

Identify Parameters with Large Standard Errors
calcium

Blood Calcium Concentration in Birds
c_hat

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

Computing Confidence Set for the Kullback-Leibler Best Model
checkConv

Check Convergence of Fitted Model
cement

Heat Expended Following Hardening of Portland Cement
boot.wt

Compute Model Selection Relative Frequencies
bullfrog

Bullfrog Occupancy and Common Reed Invasion
bictabCustom

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

Create Model Selection Tables Based on BIC
dry.frog

Frog Dehydration Experiment on Three Substrate Types
covDiag

Compute Covariance Diagnostic for Lambda in N-mixture Models
extractCN

Compute Condition Number
dictab

Create Model Selection Tables from Bayesian Analyses
countDist

Compute Summary Statistics from Distance Sampling Data
evidence

Compute Evidence Ratio Between Two Models
countHist

Compute Summary Statistics from Count Histories
detTime

Compute Summary Statistics from Time to Detection Data
extractLL

Extract Log-Likelihood of Model
detHist

Compute Summary Statistics from Detection Histories
gpa

GPA Data and Standardized Test Scores
mb.gof.test

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

Habitat Preference of Lizards
ictab

Create Model Selection Tables from User-supplied Information Criterion
extractSE

Extract SE of Fixed Effects
extractX

Extract Predictors from Candidate Model List
iron

Iron Content in Food
importance

Compute Importance Values of Variable
fat

Fat Data and Body Measurements
fam.link.mer

Extract Distribution Family and Link Function
modavg.utility

Various Utility Functions
min.trap

Anuran Larvae Counts in Minnow Traps Across Pond Type
newt

Newt Capture-mark-recapture Data
modavgCustom

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

Create Model Selection Tables based on Multiple Comparisons
modavgPred

Compute Model-averaged Predictions
modavgShrink

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

Compute Model-averaged Parameter Estimate (Multimodel Inference)
tortoise

Gopher Tortoise Distance Sampling Data
modavgIC

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

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

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

Computing Predicted Values and Standard Errors
turkey

Turkey Weight Gain
useBICCustom

Custom Computation of BIC and QBIC from User-supplied Input
useBIC

Computing BIC or QBIC
xtable

Format Objects to LaTeX or HTML
summaryOD

Display Model Summary Corrected for Overdispersion
salamander

Salamander Capture-mark-recapture Data