# JointFPM 1.2.0

`predict.JointFP()`

allows now to chose Gaussian quadrature instead of Rombergâ€™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 Rombergâ€™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