person(given = "Junxian", family="Zhu", email = "zhujx1@mail2.sysu.edu.cn", role=c("aut")),

Authors@R: c(person("Haiming", "Zhou", role = c("aut", "cre","cph"),
person("Xianzheng", "Huang", role = "aut") )
Description: Provides a class of Bayesian beta regression models for the analysis of continuous data with support restricted to an unknown finite support. The response variable is modeled using a four-parameter beta distribution with the mean or mode parameter depending linearly on covariates through a link function. When the response support is known to be (0,1), the above class of models reduce to traditional (0,1) supported beta regression models. Model choice is carried out via the logarithm of the pseudo marginal likelihood (LPML), the deviance information criterion (DIC), and the Watanabe-Akaike information criterion (WAIC). See Zhou and Huang (2022) <doi:10.1016/j.csda.2021.107345>.
Imports: Rcpp (>= 0.11.1), methods, betareg
LinkingTo: Rcpp, RcppArmadillo (>= 0.4.300.0)

Description: Provides a class of Bayesian beta regression models for the analysis of continuous data with support restricted to an unknown finite support. The response variable is modeled using a four-parameter beta distribution with the mean or mode parameter depending linearly on covariates through a link function. When the response support is known to be (0,1), the above class of models reduce to traditional (0,1) supported beta regression models. Model choice is carried out via the logarithm of the pseudo marginal likelihood (LPML), the deviance information criterion (DIC), and the Watanabe-Akaike information criterion (WAIC). See Zhou and Huang (2021, "Bayesian beta regression for bounded responses with unknown supports") <https://sites.google.com/view/haimingzhou/research>.
Imports: Rcpp (>= 0.11.1), splines, methods, coda, betareg

Title: Robust Confidence Intervals for Standardized Regression
Description: Generates robust confidence intervals for standardized regression coefficients
using heteroskedasticity-consistent standard errors for models fitted by lm()
Author: Ivan Jacob Agaloos Pesigan [aut, cre, cph]
Maintainer: Ivan Jacob Agaloos Pesigan <r.jeksterslab@gmail.com>