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' and 'rjags' 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.
|Author||Marc J. Mazerolle <email@example.com>.|
|Date of publication||2016-11-18 10:57:53|
|Maintainer||Marc J. Mazerolle <firstname.lastname@example.org>|
|License||GPL (>= 2)|
AICc: Computing AIC, AICc, QAIC, and QAICc
AICcCustom: Custom Computation of AIC, AICc, QAIC, and QAICc from...
AICcmodavg-defunct: Defunct Functions in AICcmodavg Package
AICcmodavg-package: Model Selection and Multimodel Inference Based on (Q)AIC(c)
aictab: Create Model Selection Tables
aictabCustom: Custom Creation of Model Selection Tables from User-supplied...
beetle: Flour Beetle Data
bictab: Create Model Selection Tables Based on BIC
bictabCustom: Custom Creation of Model Selection Tables from User-supplied...
boot.wt: Compute Model Selection Relative Frequencies
bullfrog: Bullfrog Occupancy and Common Reed Invasion
calcium: Blood Calcium Concentration in Birds
cement: Heat Expended Following Hardening of Portland Cement
c_hat: Estimate Dispersion for Poisson and Binomial GLM's and GLMM's
checkConv: Check Convergence of Fitted Model
checkParms: Identify Parameters with Large Standard Errors
confset: Computing Confidence Set for the Kullback-Leibler Best Model
countDist: Compute Summary Statistics from Distance Sampling Data
countHist: Compute Summary Statistics from Count Histories
covDiag: Compute Covariance Diagnostic for Lambda in _N_-mixture...
detHist: Compute Summary Statistics from Detection Histories
DIC: Computing DIC
dictab: Create Model Selection Tables from Bayesian Analyses
dry.frog: Frog Dehydration Experiment on Three Substrate Types
evidence: Compute Evidence Ratio Between Two Models
extractCN: Compute Condition Number
extractLL: Extract Log-Likelihood of Model
extractSE: Extract SE of Fixed Effects of 'coxme', 'glmer', and 'lmekin'...
fam.link.mer: Extract Distribution Family and Link Function
fat: Fat Data and Body Measurements
gpa: GPA Data and Standardized Test Scores
importance: Compute Importance Values of Variable
iron: Iron Content in Food
lizards: Habitat Preference of Lizards
mb.gof.test: Compute MacKenzie and Bailey Goodness-of-fit Test for Single...
min.trap: Anuran Larvae Counts in Minnow Traps Across Pond Type
modavg: Compute Model-averaged Parameter Estimate (Multimodel...
modavgCustom: Compute Model-averaged Parameter Estimate (Multimodel...
modavgEffect: Compute Model-averaged Effect Sizes (Multimodel Inference on...
modavgPred: Compute Model-averaged Predictions
modavgShrink: Compute Model-averaged Parameter Estimate with Shrinkage...
modavg.utility: Various Utility Functions
multComp: Create Model Selection Tables based on Multiple Comparisons
newt: Newt Capture-mark-recapture Data
Nmix.gof.test: Compute Chi-square Goodness-of-fit Test for N-mixture Models
pine: Strength of Pine Wood Based on the Density Adjusted for Resin...
predictSE: Computing Predicted Values and Standard Errors
salamander: Salamander Capture-mark-recapture Data
tortoise: Gopher Tortoise Distance Sampling Data
turkey: Turkey Weight Gain
useBIC: Computing BIC or QBIC
useBICCustom: Custom Computation of BIC and QBIC from User-supplied Input
xtable: Format Objects to LaTeX or HTML