Author: Marc J. Mazerolle <marc.mazerolle@sbf.ulaval.ca> and portions of code contributed by Dan Linden.
Suggests: betareg, coxme, fitdistrplus, glmmTMB, lavaan, lme4, maxlike,
nnet, ordinal, pscl, R2jags, R2OpenBUGS, R2WinBUGS

nnet, ordinal, pscl, R2jags, R2OpenBUGS, R2WinBUGS, jagsUI
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.

nnet, ordinal, pscl, R2jags, R2OpenBUGS, R2WinBUGS, jagsUI,

Author: Marc J. Mazerolle <marc.mazerolle@sbf.ulaval.ca>

Title: An R Package to Estimate Box-Cox Power Transformation Parameter
Author: Osman Dag, Ozgur Asar, Ozlem Ilk
Description: Includes a function to estimate the power transformation

Description: Includes a function to estimate the power transformation parameter and some datasets

Title: Estimation of Box-Cox Power Transformation Parameter
Description: Power transformation parameter is estimated for different purposes.

Imports: MASS, tseries, nortest, graphics, stats

Author: Osman Dag [aut, cre], Ozgur Asar [aut], Ozlem Ilk [aut]

Imports: MASS, tseries, nortest, ggplot2, graphics, stats
Description: Box-Cox power transformation parameter is estimated for different purposes.