FlexReg: Regression Models for Bounded Responses
Functions to fit regression models for bounded responses (e.g., proportions and rates) and binomial data. 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>), the beta (Ferrari, S.L.P., and Cribari-Neto, F. (2004) <doi:10.1080/0266476042000214501>), the flexible beta-binomial (Ascari, R. and Migliorati, S. (2021) <doi:10.1002/sim.9005>), the beta-binomial, and the binomial one. 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.
| Version: |
1.1 |
| 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, faraway |
| LinkingTo: |
BH (≥ 1.66.0), Rcpp (≥ 0.12.0), RcppEigen (≥ 0.3.3.3.0), rstan (≥ 2.18.1), StanHeaders (≥ 2.18.0) |
| Suggests: |
testthat |
| Published: |
2022-01-17 |
| Author: |
Agnese M. Di Brisco [aut, cre], Roberto Ascari [aut, cre], Sonia Migliorati [aut], Andrea Ongaro [aut] |
| Maintainer: |
Roberto Ascari <roberto.ascari at unimib.it> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
yes |
| SystemRequirements: |
GNU make |
| CRAN checks: |
FlexReg results |
Documentation:
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