# JointFPM 1.2.1

- 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

`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