# 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 | |

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 | |

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## Vignettes of AICcmodavg

Name | ||

AICcmodavg.Rnw | ||

AICcmodavg.bib | ||

ecologyEN.bst | ||

No Results! |

## Last month downloads

## Details

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 |

suggests | betareg , coxme , fitdistrplus , glmmTMB , jagsUI , lavaan , lme4 , lmerTest , maxlike , nnet , ordinal , pscl , R2jags , R2OpenBUGS , R2WinBUGS |

imports | graphics , lattice , MASS , Matrix , methods , nlme , stats , stats4 , survival , unmarked , VGAM , xtable |

depends | R (>= 3.2.0) |

Contributors | Marc J Mazerolle |

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