FlexReg-package: The 'FlexReg' package.

Description References

Description

This package provides functions and methods to implement several types of regression models for continuous bounded responses (e.g., proportions and rates) and binomial data. Inferential statistical analysis is dealt with by Bayesian estimation based on the Hamiltonian Monte Carlo (HMC) algorithm through the `rstan` package.

References

Migliorati, S., Di Brisco, A. M., Ongaro, A. (2018) A New Regression Model for Bounded Responses. Bayesian Analysis, 13(3), 845–872. doi:10.1214/17-BA1079

Ascari, R., Migliorati, S. (2021). A new regression model for overdispersed binomial data accounting for outliers and an excess of zeros. Statistics in Medicine, 40(17), 3895–3914. doi:10.1002/sim.9005

Di Brisco, A. M., Migliorati, S., Ongaro, A. (2020) Robustness against outliers: A new variance inflated regression model for proportions. Statistical Modelling, 20(3), 274–309. doi:10.1177/1471082X18821213

Ferrari, S.L.P., and Cribari-Neto, F. (2004). Beta Regression for Modeling Rates and Proportions. Journal of Applied Statistics, 31(7), 799–815. doi:10.1080/0266476042000214501

Stan Development Team (2020). RStan: the R interface to Stan. R package version 2.19.3. https://mc-stan.org


FlexReg documentation built on Jan. 17, 2022, 5:06 p.m.