Nothing
summary.JointFPM()
, which provides a ncer overview of the model estimatespredict.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).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.JointFPM()
predict.JointFPM()
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