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JointFPM  

A Parametric Model for Estimating the Mean Number of Events
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("JointFPM", "1.2.1")



Attach the package and use:
library("JointFPM")
Maintained by
Joshua P. Entrop
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-09-23
Latest Update: 2024-01-22
Description:
Implementation of a parametric joint model for modelling recurrent and competing event processes using generalised survival models. The joint model can subsequently be used to predict the mean number of events in the presence of competing risks at different time points. Comparisons of the mean number of event functions, e.g. the differences in mean number of events between two exposure groups, are also available.
How to cite:
Joshua P. Entrop (2023). JointFPM: A Parametric Model for Estimating the Mean Number of Events. R package version 1.2.1, https://cran.r-project.org/web/packages/JointFPM. Accessed 03 Dec. 2024.
Previous versions and publish date:
1.0.0 (2023-09-23 16:50), 1.0.1 (2023-10-13 09:30), 1.1.0 (2023-11-27 13:20), 1.2.0 (2024-01-22 10:12)
Other packages that cited JointFPM R package
View JointFPM citation profile
Other R packages that JointFPM depends, imports, suggests or enhances
Complete documentation for JointFPM
Functions, R codes and Examples using the JointFPM R package
Full JointFPM package functions and examples
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