README.md
In mayrandy/JMboost: Boosting Joint Models for Longitudinal and Time-to-Event Outcomes
JMboost
JMboost implements a boosting algorithm for fitting joint models to potentially
high-dimensional data. The algorithm provides the functionality to simultaneously
estimate a longitudinal and a shared predictor.
Details can be found here:
- JMboost manuscript (preliminary version currently under review).
Installation
Latest version from GitHub:
library("devtools")
install_github("mayrandy/JMboost")
library("JMboost")
To be able to use the install_github() command, one needs to install devtools first:
install.packages("devtools")
mayrandy/JMboost documentation built on May 21, 2019, 2:23 p.m.
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JMboost
JMboost implements a boosting algorithm for fitting joint models to potentially
high-dimensional data. The algorithm provides the functionality to simultaneously
estimate a longitudinal and a shared predictor.
Details can be found here: - JMboost manuscript (preliminary version currently under review).
Installation
Latest version from GitHub:
library("devtools")
install_github("mayrandy/JMboost")
library("JMboost")
To be able to use the install_github() command, one needs to install devtools first:
install.packages("devtools")
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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