Longitudinal Sequential Imputation and Prediction with Bayesian Trees Mixed-Effects Models for Longitudinal Data

---

Documentation for package ‘SBMTrees’ version 1.4

• DESCRIPTION file
• User guides, package vignettes and other documentation
• Package NEWS
• Package README

Help Pages

SBMTrees-package	Sequential Imputation with Bayesian Trees Mixed-Effects Models
apply_locf_nocb	Initialize Missing Values using LOCF and NOCB
BMLMM_prediction	Bayesian Mixed Linear Models for Predicting Longitudinal Outcomes with DP Priors
BMTrees_prediction	Bayesian Trees Mixed-Effects Models for Predicting Longitudinal Outcomes
SBMTrees	Sequential Imputation with Bayesian Trees Mixed-Effects Models
sequential_imputation	Longitudinal Sequential Imputation for Longitudinal Missing Data
simulation_imputation	Simulate Longitudinal Data with Missing Values for Imputation
simulation_imputation_LTFU	Simulate Longitudinal Data with Loss to Follow-up (LTFU) for Imputation
simulation_prediction_binary	Simulate Binary Longitudinal Data for Prediction
simulation_prediction_conti	Simulate Continuous Longitudinal Data for Prediction