statistics
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haskell
A fast, high quality library for computing with statistics in Haskell.
Hi, I wanted to learn more about this module's deprecation. I want to specify the lower and upper bounds for an estimate, where the lower and upper bounds extend beyond...
It would be more than cool if the library supported tests for the homogeneity of variances (homoscedasticity), such as Bartlett's or Levene's test.
Unfortunately this changes the API, but I believe that a p-value should be reported with every correlation. This technique uses Student's t distribution, which is fine, but it would be...
Right now it seems not possible due to how `DiscreteGen`/`ContGen` typeclasses are defined.
Functions for estimation of various statistics have inconsistent behavior for samples of insufficient size. For example for empty sample - mean returns NaN - welfordMean returns 0 - Quantile.weightedAvg throws...
Hello, I would like to use custom (in my case discrete) distributions and make use of the machinery of the statistics package. I.e., I would like to create instances of...
I noticed that while it is possible to get the p-value from some tests, many do not have this option. For instance, `mannWhitneyUtest`. One issue I believe is the `TestResult`...
Problem is simple. During resampling we can get sample where all `x` are same. This means we get singular matrix when solving linear equation and answer will be NaN which...
We need more variants of linear regeressions: 1. Regression for values with known normal errors. Here we'll obtain not only fit result but estimate of errors and χ² goodness of...
Following code samples assume `OverloadedLists` ```haskell olsRegress [[1,2,3]] [1,1,1] ([2.3737566748887e-16,0.9999999999999994],-Infinity) ``` ```haskell olsRegress [[1,1,1]] [1,2,3] ([9.007199254740998e15,-9.007199254740994e15],-6.0) ```