R help - Aug 2021 - Markov modeling using msm

I would like to use R and msm to replicate the results from a published study
where the authors used Tree Age Pro 2011 for their Markov modeling. I am new to
Markov modeling and while I have tried to read up, my understanding is still
quite limited...

The papers contains the the state transition probabilities but it seems to me
that msm requires transition intensities rather than transition probabilities.
Is this correct?

If so, the msm documentation suggests that msm can output transition
probabilities but is there any way I can do the reverse, ie input transition
probabilities into my msm model?

Appreciate any pointers.

Please read the posting guide linked below, which says, in part:

"Questions about statistics: The R mailing lists are primarily
intended for questions and discussion about the R software. However,
questions about statistical methodology are sometimes posted. If the
question is well-asked and of interest to someone on the list, it may
elicit an informative up-to-date answer. "

So do not be surprised if you do not get a response here.
stats.stackexchange.com may be a better venue for your query, too.

The posting guide also says:
"For questions about functions in standard packages distributed with R
(see the FAQ Add-on packages in R), ask questions on R-help.
If the question relates to a contributed package , e.g., one
downloaded from CRAN, try contacting the package maintainer first. You
can also use find("functionname") and
packageDescription("packagename") to find this information. Only send
such questions to R-help or R-devel if you get no reply or need
further assistance. This applies to both requests for help and to bug
reports."

So perhaps contacting the msm maintainer might be another possibility.
See ?maintainer for how to find their contact info.

Cheers,

Bert Gunter

"The trouble with having an open mind is that people keep coming along
and sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )

Bert Gunter

"The trouble with having an open mind is that people keep coming along
and sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )


On Sat, Aug 7, 2021 at 6:21 PM H <agents at meddatainc.com>
wrote:
>
> I would like to use R and msm to replicate the results from a published
study where the authors used Tree Age Pro 2011 for their Markov modeling. I am
new to Markov modeling and while I have tried to read up, my understanding is
still quite limited...
>
> The papers contains the the state transition probabilities but it seems to
me that msm requires transition intensities rather than transition
probabilities. Is this correct?
>
> If so, the msm documentation suggests that msm can output transition
probabilities but is there any way I can do the reverse, ie input transition
probabilities into my msm model?
>
> Appreciate any pointers.
>
> ______________________________________________
> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.

Hello,

There are CRAN packages, for instance, packages DTMCPack and 
markovchain, that require transition probabilities as input. See this 
R-bloggers post [1].


[1] https://www.r-bloggers.com/2016/01/getting-started-with-markov-chains/


Hope this helps,

Rui Barradas

?s 02:21 de 08/08/21, H escreveu:
> I would like to use R and msm to replicate the results from a published
study where the authors used Tree Age Pro 2011 for their Markov modeling. I am
new to Markov modeling and while I have tried to read up, my understanding is
still quite limited...
> 
> The papers contains the the state transition probabilities but it seems to
me that msm requires transition intensities rather than transition
probabilities. Is this correct?
> 
> If so, the msm documentation suggests that msm can output transition
probabilities but is there any way I can do the reverse, ie input transition
probabilities into my msm model?
> 
> Appreciate any pointers.
> 
> ______________________________________________
> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>