Package: FlexReg
Title: Regression Models for Bounded Responses
Version: 1.0
Author: Agnese M. Di Brisco [aut, cre], Roberto Ascari [aut, cre], Sonia Migliorati [aut], Andrea Ongaro [aut]
Maintainer: Roberto Ascari <roberto.ascari@unimib.it>
Description: Functions to fit regression models for bounded responses, such as rates and proportions. Available models are the flexible beta (Migliorati, S., Di Brisco, A. M., Ongaro, A. (2018) <doi:10.1214/17-BA1079>), the variance-inflated beta (Di Brisco, A. M., Migliorati, S., Ongaro, A. (2020) <doi:10.1177/1471082X18821213>), and the beta one (Ferrari, S.L.P., and Cribari-Neto, F. (2004) <doi:10.1080/0266476042000214501>). Inference is dealt with a Bayesian approach based on the Hamiltonian Monte Carlo (HMC) algorithm (Gelman, A.; Carlin, J. B.; Stern, H. S. and Rubin, D. B. (2014) <doi:10.1201/b16018>). Besides, functions to compute residuals, posterior predictives, goodness-of-fit measures, convergence diagnostics, and graphical representations are provided.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Biarch: true
Depends: R (>= 3.5.0)
Imports: methods, Rcpp (>= 0.12.0), rstan (>= 2.18.1), rstantools (>=
        2.0.0), loo, bayesplot, ggplot2, Formula, utils, grDevices
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0),
        rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
SystemRequirements: GNU make
RoxygenNote: 7.1.1
Suggests: testthat
NeedsCompilation: yes
Packaged: 2020-10-29 14:11:04 UTC; roberto.ascari
Repository: CRAN
Date/Publication: 2020-11-05 08:20:05 UTC
