JointFPM 1.2.0
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
- 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
- Fixed bug when calculating difference between two mean number of events functions
- Added tests for predict function
JointFPM 1.0.0