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So I have got a data table containing about 100 rows of data, each row representing a different person. And for each person, their transition probabilities to four different states are listed in columns. I've got a snippet of the table.

enter image description here

What is the best way for me to simulate their transitions within the next period in R? Is the Markov chain approach the best available?

Syfer
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David Yue
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    *"What is the best way for me to simulate their transitions"* - this sounds to me as if the question is primarily opinion based. Maybe you could rephrase the question, list what drawbacks you see in a Markov Chain and why you don't want to use it, list your requirements and ask, if someone knows an algorithm that will fulfil your requirements better. – Paul Kertscher Sep 29 '17 at 11:28
  • how fine-grained do you want/need your simulation to be? Are you tracking states for each person individually? Do the `age` and `gender` variables matter? – Ben Bolker Sep 29 '17 at 12:21
  • It isn't clear what you are trying to do, hence it isn't very clear how to answer your question. Also: please don't give an *image* of the data -- give the data itself in a way that others can load it into an R console. – John Coleman Sep 29 '17 at 14:05

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