Package: SBMTrees
Type: Package
Title: Sequential Imputation with Bayesian Trees Mixed-Effects Models
        for Longitudinal Data
Version: 1.2
Date: 2024-11-20
Author: Jungang Zou [aut, cre],
  Liangyuan Hu [aut],
  Robert McCulloch [ctb],
  Rodney Sparapani [ctb],
  Charles Spanbauer [ctb]
Authors@R: c(person("Jungang", "Zou", role = c("aut", "cre"), email = "jungang.zou@gmail.com"), person("Liangyuan", "Hu", role = "aut"), person("Robert", "McCulloch", role = "ctb"), person("Rodney", "Sparapani", role = "ctb"), person("Charles", "Spanbauer", role = "ctb"))
Maintainer: Jungang Zou <jungang.zou@gmail.com>
Description: Implements a sequential imputation framework using Bayesian Mixed-Effects Trees ('SBMTrees') for handling missing data in longitudinal studies. The package supports a variety of models, including non-linear relationships and non-normal random effects and residuals, leveraging Dirichlet Process priors for increased flexibility. Key features include handling Missing at Random (MAR) longitudinal data, imputation of both covariates and outcomes, and generating posterior predictive samples for further analysis. The methodology is designed for applications in epidemiology, biostatistics, and other fields requiring robust handling of missing data in longitudinal settings.
License: GPL-2
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: Rcpp, lme4, Matrix, arm, dplyr, mvtnorm, sn, tidyr, mice, nnet
LinkingTo: Rcpp, RcppArmadillo, RcppDist, RcppProgress
RoxygenNote: 7.3.2
SystemRequirements: GNU make
Suggests: knitr, rmarkdown, mitml
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-12-10 23:44:22 UTC; jz3138
Repository: CRAN
Date/Publication: 2024-12-11 07:50:10 UTC
Built: R 4.5.0; aarch64-apple-darwin20; 2025-01-22 20:38:01 UTC; unix
Archs: SBMTrees.so.dSYM
