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License: GNU General Public License v3.0
Right now we only support Gaussian and logistic models. It would be great to support more. Creating this issue to note and track this.
A partial list of models I want to support
Uncertainty quantification can be a challenge in error correction models using MLE.
We currently use MLE with the quadratic approximation. #4 partially addresses this, but maybe Stan can do an even better job and also support a wider range of models more easily.
One thing to consider is if this package should focus on MLE methods and supporting Bayesian models should be developed in parallel, but in a separate package.
metafor
)In theory, profile likelihood provides better uncertainty quantification than the quadratic approximation does. This package currently only supports the quadradic approximation.
I already have some code that uses profile likelihood, but it isn't integrated in this package or tested.
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