R package citation, R package reverse dependencies, R package scholars, install an r package from GitHub hy is package acceptance pending why is package undeliverable amazon why is package on hold dhl tour packages why in r package r and r package full form why is r free why r is bad which r package to install which r package has which r package which r package version which r package readxl which r package ggplot which r package fread which r package license where is package.json where is package-lock.json where is package.swift where is package explorer in eclipse where is package where is package manager unity where is package installer android where is package manager console in visual studio who r package which r package to install which r package version who is package who is package deal who is package design r and r package full form r and r package meaning what r package has what package r what is package in java what is package what is package-lock.json what is package in python what is package.json what is package installer do r package can't install r packages r can't find package r can't load package can't load xlsx package r can't install psych package r can't install sf package r Write if else in NONMEM pk pd
SBMTrees
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]
[Scholar Profile | Author Map]
All associated links for this package
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 21 Dec. 2024.
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
Get rewarded with contribution points by
helping add
Reviews / comments / questions /suggestions ↴↴↴
Today's Hot Picks in Authors and Packages
r2resize
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
SEIRfansy
Extended Susceptible-Exposed-Infected-Recovery Model for
handling high false negative rate and symp ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Michael Kleinsasser (view profile)
CIFsmry
Estimate of cumulative incidence function in two samples. Provide weighted summary statistics based ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Jianing Li (view profile)
batteryreduction
Battery reduction is a method used in data reduction. It uses Gram-Schmidt orthogonal rotations to f ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Chunqiao Luo (view profile)
helda
The main focus is on preprocessing and data visualization of machine learning models performances.So ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Simon Corde (view profile)
condGEE
Solves for the mean parameters, the variance parameter, and their asymptotic variance in a condition ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: David Clement (view profile)