`install.packages('AICcmodavg')`

8,098

2.3-1

GPL (>= 2)

August 26th, 2020

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