#' The 'BayesPocket' package.
#'
#' @description Implements a Bayesian double-censored model for causal inference in longitudinal studies of periodontal disease progression. The package provides tools for estimating causal effects of treatments on disease outcomes, accounting for time-varying confounders and left- and right-censored outcomes. It uses a Tobit regression model with extended Bayesian additive regression trees (XBART) for flexible modeling of complex relationships. The methodology is designed for observational dental data where treatments are assigned adaptively over time. Includes functions for model fitting and posterior inference of causal estimands.
#'
#' @docType package
#' @name BayesPocket
#' @importFrom stats dnorm integrate rnorm rpois pnorm quantile model.matrix rgamma
#' @importFrom GIGrvg rgig
#' @importFrom truncnorm rtruncnorm
#' @importFrom progress progress_bar
#' @importFrom stochtree createCppRNG createForest createForestDataset createForestModel createForestModelConfig createForestSamples createGlobalModelConfig createOutcome
#' @importFrom SoftBart Hypers MakeForest Opts
#' @importFrom pbmcapply pbmclapply
#' @importFrom parallel mclapply
#' @return This is the summary page. No return value.
"_PACKAGE"
#'
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