AICcmodavg v2.3-1


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

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.

Functions in AICcmodavg

Name Description
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 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
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Type Package
Date 2020-08-21
License GPL (>= 2)
LazyLoad yes
Repository CRAN
NeedsCompilation no
Packaged 2020-08-24 17:47:30 UTC; mazerolm
Date/Publication 2020-08-26 16:12:17 UTC

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