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Hello,
First of all, thank you for giving us the opportunity to run BGC so easily.
I am having some trouble understanding my results. I attached the log likelihood and hybrid index graphs that …
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### Describe the issue:
Process memory grows steadily while computing log likelihood until it consumes all available memory (and swap). Replicated on linux and M1 Mac.
PYMC version: 5.7.2
Lin…
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First, thank you very much for developing such a great tool!
Now we encountered overflow problem in CosMx 6000plex.
This is error log.
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The info messages for deviance and log-likelihood for GLMM need to be double checked and a help page summarizing the lme4 deviance and log-likelihood tables added.
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Hi
I know that previous version of bife package (fixed effect logic) was calculating AIC and Log-likelihood result and showing then in the summary.
New version does not calculate these values,
Is…
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I was trying to replicate the results of the ML estimate for R in this package without being successful. I have narrowed down the difference between my implementation and the one in this package to li…
Gulfa updated
5 years ago
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Hello,
is it possible to calculate the marginal log likelihood given the observations and the model parameters? I want to do thinks similar to this tutorial from PINTS with statsmodesl in python: h…
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The log likelihood reported can sometimes be largely negative. My data are quite sparse TGS data, so I use a low min.het and cval. Facets complains about data quality, however the outputs are quite of…
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Hi,
I'm trying to run Admixture models on 93 samples from 12 populations with low coverage WGS data (~2.5X). I keep obtaining large log likelihoods with my models (see error output below), regardless…
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Weight Learning using Pseudo Log Likelihood.
Inference is not needed. Only Count is needed.