Other packages > Find by keyword >

jmBIG  

Joint Longitudinal and Survival Model for Big Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("jmBIG", "0.1.3")



Attach the package and use:
library("jmBIG")
Maintained by
Atanu Bhattacharjee
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-04-26
Latest Update: 2025-01-19
Description:
Provides analysis tools for big data where the sample size is very large. It offers a suite of functions for fitting and predicting joint models, which allow for the simultaneous analysis of longitudinal and time-to-event data. This statistical methodology is particularly useful in medical research where there is often interest in understanding the relationship between a longitudinal biomarker and a clinical outcome, such as survival or disease progression. This can be particularly useful in a clinical setting where it is important to be able to predict how a patient's health status may change over time. Overall, this package provides a comprehensive set of tools for joint modeling of BIG data obtained as survival and longitudinal outcomes with both Bayesian and non-Bayesian approaches. Its versatility and flexibility make it a valuable resource for researchers in many different fields, particularly in the medical and health sciences.
How to cite:
Atanu Bhattacharjee (2023). jmBIG: Joint Longitudinal and Survival Model for Big Data. R package version 0.1.3, https://cran.r-project.org/web/packages/jmBIG. Accessed 15 Sep. 2026.
Previous versions and publish date:
(2026-07-09 07:50), 0.1.0 (2023-04-26 08:00), 0.1.1 (2023-10-29 18:40), 0.1.2 (2024-03-21 00:40)
Other packages that cited jmBIG R package
View jmBIG citation profile
Other R packages that jmBIG depends, imports, suggests or enhances
Complete documentation for jmBIG
Functions, R codes and Examples using the jmBIG R package
Some associated functions: jmbayesBig . jmcsBig . jmstanBig . joinRMLBig . long2 . longsurv . postSurvfit . postTraj . predJMbayes . predJRML . print.jmbayesBig . print.jmcsBig . print.jmstanBig . print.joinRMLBig . print . surv2 . survfitJMCS . 
Some associated R codes: dataset.R . jmbayesBig.R . jmcsBig.R . jmstanBig.R . joineRMLBig.R . prediction.R . print.R .  Full jmBIG package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

functClust  
Functional Clustering of Redundant Components of a System
Cluster together the components that make up an interactivesystem on the basis of their functional r ...
Download / Learn more Package Citations See dependency  
objectSignals  
Observer Pattern for S4
A mutable Signal object can report changes to its state, clients could register functions so that t ...
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  
RXshrink  
Maximum Likelihood Shrinkage using Generalized Ridge or Least Angle Regression
Functions are provided to calculate and display ridge TRACE Diagnostics for a variety of alternativ ...
Download / Learn more Package Citations See dependency  
CTTinShiny  
Shiny Interface for the CTT Package
A Shiny interface developed in close coordination with the CTT package, providing a GUI that guides ...
Download / Learn more Package Citations See dependency  
SiER  
Signal Extraction Approach for Sparse Multivariate Response Regression
Methods for regression with high-dimensional predictors andunivariate or maltivariate response varia ...
Download / Learn more Package Citations See dependency  

28,565

R Packages

239,283

Dependencies

75,677

Author Associations

28,566

Publication Badges

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