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

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

## Documentation for package ‘SBMTrees’ version 1.5

- 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