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Dear all,
I propose here that we add the Akaike Information Criterion (AIC) and the Bayesian Information Criterion (BIC) in our stats module, probably in utils.py.
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![image](https://user-images.githubusercontent.com/15717243/153578109-f2dc5cd4-bedb-492a-8d5d-7252bd66b711.png)
![image](https://user-images.githubusercontent.com/15717243/153578972-7b301b8c-aaa1-491…
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Functions/methods without proper wide-band implementations. Some of these are in progress.
* `toa.TOAs.get_summary()`
* `utils.akaike_information_criterion()` and `utils.bayesian_information_criter…
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DIC estimation hardcode following Pooley, C. M., & Marion, G. Bayesian model evidence as a practical alternative to deviance information criterion. Royal Society Open Science (2018), https://doi.org/1…
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Corresponding Definition: ["Akaike information criterion"](https://statproofbook.github.io/D/aic).
Proof that could serve as inspiration: ["Derivation of the Bayesian information criterion"](https://…
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When fitting with multiple models where we vary the number of peaks, currently, we use the chi squared to determine the best model with the least parameters. Better practice would be to change this to…
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Using Numpy and Scipy, one could fit the growth curve to different models. In this model we are expecting to fit the curve to Richards and Gompertz model. We can use the growth parameters obtained for…
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#### Describe the workflow you want to enable
The [sklearn.mixture.GaussianMixture](https://scikit-learn.org/stable/modules/generated/sklearn.mixture.GaussianMixture.html#sklearn.mixture.Gaussian…
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Hi,
I converted my SNP data to binary. The characters are 0, 1 and 2. I use the script below to run IQtree:
iqtree2 -s populations.snps.92ind.binary.NEX -st BIN -m TEST+ASC -bb 2000 -wbt -alrt 2…