A General Framework for Flexible Multi-State Survival Modelling
Function to plot the smooths included in the model specifications.
Print a fmsm object
Flexible transition intensity based models for univariate multistate p...
Flexible transition intensity based models for two dependant multistat...
Convergence diagnostics on fitted model output.
flexmsm: Flexible Multi-State Modelling
Flexible transition intensity based models for two dependant multistat...
Flexible transition intensity based models for univariate multistate p...
Predict and plot the transition probabilities
Fitted fmsmObject object
Likelihood, gradient and Hessian for univariate transition intensity b...
Likelihood, gradient and Hessian for univariate transition intensity b...
Likelihood, gradient and Hessian for univariate transition intensity b...
Extract the log likelihood for the fitted multistate model
Internal function
Predict and plot the transition intensities
Function to predict and plot the estimated transition intensities (and...
Function to extract state pair counts and observed (right) times.
Summary for fitted model ouput.
Summary for fitted model ouput.
A general estimation framework for multi-state Markov processes with flexible specification of the transition intensities. The log-transition intensities can be specified through Generalised Additive Models which allow for virtually any type of covariate effect. Elementary specifications such as time-homogeneous processes and simple parametric forms are also supported. There are no limitations on the type of process one can assume, with both forward and backward transitions allowed and virtually any number of states.