Closed eiriksko closed 3 years ago
Currently if the model is semi-Markov you can use simulation to summarise any function of outputs. e.g. for a transition probability, you could use sim.fmsm
to simulate the population, and calculate the number of people who were in state 2 at time 5 and each potential state s at time 10. To get confidence intervals there is a function bootci.msm
, but that would be computationally intensive.
If the model is Markov, a more efficient way would be to use differential equation solving as is done by pmatrix.fs
, though I'm not immediately sure how to formulate it. I'll keep the issue open as a potentially useful feature.
Thank you for the swift response. I'll try and see if I can make it work.
I enjoy and have started working with the multistate capabilities of flexsurv. I wonder if it is (or will be) possible to specify a starting time point other than 0 (zero) when making predictions from a set of parametric survival models. E.g., if an individual is in state 2 at time =5 (or, by specifying a vector of state probabilities at time =5); would it be possible to predict the state probabilities at time =10?
Best, Eirik