Other packages > Find by keyword >

SBMTrees  

Sequential Imputation with Bayesian Trees Mixed-Effects Models for Longitudinal Data
View on CRAN: Click here


Download and install SBMTrees package within the R console
Install from CRAN:
install.packages("SBMTrees")

Install from Github:
library("remotes")
install_github("cran/SBMTrees")

Install by package version:
library("remotes")
install_version("SBMTrees", "1.2")



Attach the package and use:
library("SBMTrees")
Maintained by
Jungang Zou
[Scholar Profile | Author Map]
First Published: 2024-12-09
Latest Update: 2024-12-11
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.
How to cite:
Jungang Zou (2024). SBMTrees: Sequential Imputation with Bayesian Trees Mixed-Effects Models for Longitudinal Data. R package version 1.2, https://cran.r-project.org/web/packages/SBMTrees. Accessed 04 Apr. 2025.
Previous versions and publish date:
1.1 (2024-12-09 21:00)
Other packages that cited SBMTrees R package
View SBMTrees citation profile
Other R packages that SBMTrees depends, imports, suggests or enhances
Complete documentation for SBMTrees
Functions, R codes and Examples using the SBMTrees R package
Full SBMTrees package functions and examples
Downloads during the last 30 days
03/0503/0603/0703/0803/1003/1103/1203/1303/1403/1503/1603/1803/2003/2103/2203/2303/2403/2503/2603/2703/2803/3003/3104/0104/02Downloads for SBMTrees123456789TrendBars

Today's Hot Picks in Authors and Packages

PakPMICS2014HH  
Multiple Indicator Cluster Survey (MICS) 2014 Household Questionnaire Data for Punjab, Pakistan
Provides data set and function for exploration of Multiple Indicator Cluster Survey (MICS) 2014 Hous ...
Download / Learn more Package Citations See dependency  
perryExamples  
Examples for Integrating Prediction Error Estimation into Regression Models
Examples for integrating package 'perry' for prediction error estimation into regression models. ...
Download / Learn more Package Citations See dependency  
metaprotr  
Metaproteomics Post-Processing Analysis
Set of tools for descriptive analysis of metaproteomics data generated from high-throughput mass ...
Download / Learn more Package Citations See dependency  
GeDS  
Geometrically Designed Spline Regression
Spline Regression, Generalized Additive Models, and Component-wise Gradient Boosting, utilizing Geo ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
Rexperigen  
R Interface to Experigen
Provides convenience functions to communicate with an Experigen server: Experigen ( ...
Download / Learn more Package Citations See dependency  

23,990

R Packages

207,311

Dependencies

64,809

Author Associations

23,991

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA