NEWS
JointFPM 1.2.1.9000
JointFPM 1.2.1 (2024-06-19)
- Added
summary.JointFPM(), which provides a ncer overview of the model estimates
predict.JointFPM() includes new control and ... arguments, which are passed to rstpm2::gms() and can be used to control the estimation procedure (pull request #12 by @ellessenne).
JointFPM 1.2.0 (2024-01-22)
predict.JointFP() allows now to chose Gaussian quadrature instead of Romberg's method for the integration of the production of the survival and intensity function for estimating the mean number of events (@ellessenne, #8). Using Gaussian quadrature is fast while providing results similar to Romberg's method, if a sufficient number if nodes is chosen. This might be particular useful when standardising over linear covariates.- Fixed a small error when upgrading to Roxygen 7.3.0 #10.
JointFPM 1.1.0 (2023-11-27)
- Added standardization for estimating marginal estimates of the mean number of events and differences thereof
- Added checks of user inputs to
JointFPM()
- Added checks of user inputs to
predict.JointFPM()
- Improved error messages
- Improved testing coverage
JointFPM 1.0.1 (2023-10-13)
- Fixed bug when calculating difference between two mean number of events functions
- Added tests for predict function
JointFPM 1.0.0 (2023-09-23)