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## Is your feature request related to a problem? Please describe.
There is currently no built-in way of assessing the volatility or uncertainty associated with metrics generated via `MetricFrame`…
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* Chess Tuning Tools version: My fork = no opening book and normalize_y=True
* Python version: 3.8.7
* Operating System: Linux
### Description
I have noticed that the y-scales of the plots, th…
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Hi, I apologize for bothering you again. I would like to follow your manuscript and apply the jackknife method to calculate whether the R² improvement of polypred compared to bolt-lmm is statistically…
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When using `random_forest_error()` with a dataset in which the features range between 0 and 1 and of datatype `float64`, I get a bunch of overflow errors like so:
```
/Users/erictaw/forest-confid…
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Hello!
We are using your package as a dependency for our package `enviromtx` and are wondering if you have any plans to implement jackknife standard errors in this package (as in the `geepack` pac…
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I do not get the same estimate of the sd using the jackknife option of PLN and doing it by hand. Did I do smthing wrong?
```r
# Test Jackknife variance estimate
library(PLNmodels)
# Make par…
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Hi,
It seems that this software is no longer maintained, but I will try my luck here...
Overall, I found consistent results of HDL compared to LDSC, but I often saw inf/-inf/NAN estimates for G…
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Hello, and apologies if this is answered elsewhere. I'm interested in using the zero-order covariance matrices from `s_ldsc` for a delta-method estimator of the variance of the genetic correlation.
…
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Warning: wall of text
## Context and literature review
The method `entropy(::Shannon, ::ProbabilitiesEstimator, args...)`, although we don't state it anywhere, is in the literature referred to …
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Tests for jackknife variance are matching analogous R code for srs and strat designs.
But i tried two-stage cluster sample, and have been getting different *point* estimates, not to mention varian…