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When letting the uniform prior [0,1] on nu the tMRCA converges to roughly the origin time (late October) but my epidemic curve has 0 cases until December 8.
When setting lower=0.5 for nu it converges to a much more recent date.
Thanks for getting in touch and trying to use the package; as I'm sure you've
noticed, the documentation is a work in progress.
Yes, it makes sense that setting nu=0.5 would lead to a more recent date if the
time series has a bunch of zeros at the start. A couple of options would be to
either: cut the start of the time series off, or use a time varying observation
probability to allow for changes in the observation system as the outbreak was
recognised.
I haven't had a chance to look through your XML carefully, but it looks like you
are using years as your unit of time in which case the "removal" rate mu=0.146
is a bit low. Also, I'm a little confused about how you are handling the origin.
I think it should be [email protected].
Please let me know how you get along, I'll leave this issue open in the
meantime.
Hi,
The clockrate is fixed to 0.0008/subs/site/year
155 sequences from December 2019 and January 2020 and the epidemic curve from https://github.com/chaolongwang/SAPHIRE/blob/master/data/Covid19CasesWH.csv
The goal is to see how it affects the tMRCA
My xml is there https://github.com/babarlelephant/trash/blob/main/consensus-155.xml (the one with the sequences is in the same repo)
When letting the uniform prior [0,1] on nu the tMRCA converges to roughly the origin time (late October) but my epidemic curve has 0 cases until December 8.
When setting lower=0.5 for nu it converges to a much more recent date.
There is a short description of the parameters in https://github.com/aezarebski/timtam2/blob/main/src/timtam/TimTam.java
Thanks a lot!
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