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Hey @bblonder thanks for this great package! I'm curious if you have thought much about how to reduce down the information from your analysis to a single number that suggests the degree of species ass…
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The DRAGON precision matrix is the inverse of the shrunken covariance (1-lambda)S + lambdaT where T is the target matrix of covariances on the diagonal and should be full rank. However, we do not curr…
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There are currently no spectra or photometry included for the HR 8799 planets.
In my publication from this year [(here)](https://ui.adsabs.harvard.edu/abs/2024arXiv240403776N/abstract), I compiled th…
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Just highlighting depth limits in the trace could be helpful to point out potential performance issues.
Automatic suggestions may also be possible. For example, LukeAbby on discord mentioned that a…
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Looking at the stack of the 10 cross-correlations, we observe extra covariance along the line-of-sight than compared to the data and expected by direct computation (Wick).
The plots give the variance…
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In `hierarchical_schur_complementary_portfolio_with_defaults`, the default `port` is [`diagonal_portfolio_factory`](https://github.com/microprediction/precise/blob/e87d22a1d589d5d8aadea21ecfbf84257501…
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#### Description
The current implementation of shrinkage 'auto' is to calculate ledoit-wolf shrinkage factor separately for each matrix.
The within-class covariance matrices are calcula…
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Hi everyone,
I was attempting to answer this question today but I am not really sure if I am understanding the Cronbach's alpha correctly.
I learned a bit more about Cronbach's alpha from [thi…
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I am interested in expanding MDMR functionality to also use lme from nlme because lme (as oppsed to lmer) allows for specification of variance-covariance correlation structures in the mixed model.
…
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Hello,
I am trying to use this code to compute the Bayesian Evidence for chains computed using MontePython. I tried to test the code first on official Planck chains.
However, I am getting the f…