JointFPM 1.3.0
- Stable release of
mean_no function
JointFPM 1.2.2
- The DESCRIPTION file now includes a link to the article in the
Biometrical Journal describing the method implemented in this
package.
- The package now requieres R >= 4.1.0, due to the use of the
native pipe operator. This fixes a note in the CRAN checks
JointFPM 1.2.1
- Added
summary.JointFPM(), which provides a nicer
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 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