John Myles White
John Myles White
Can we rename this package to MCMC.jl for consistency with the module naming conventions that seem to be emerging?
I think it would be great to strive for a simple API that takes univariate and multivariate distributions defined by a density and returns samples. For example, a function called...
- [ ] add1.lm* - [ ] alias.lm* - [x] anova.lm* -> `ftest` (#182) - [ ] case.names.lm* - [x] confint.lm* - [ ] cooks.distance.lm* - [x] deviance.lm* - [...
One thing I'd really like is for Julia to tell the user when the data is linearly separable under a logistic model. This could be done by making a call...
It would be useful to provide a tool like `differentiate(:(exp(x)), :x))` that returns a compiled function that is immediately evaluable at specific values of `x`.
At a recent tutorial, someone brought up the following possibility for providing a nice syntax for location-scale distributions: ``` X = Normal(0, 1) Y = 5X + 1 ``` They...
Since we're making pretty great progress at including probability distributions, I thought I'd add a list of distributions we're missing that we might want to add to rival SciPy's list:...
For this package it may not be that useful, but perhaps there's still value in having a hierarchy of hypothesis tests. Something like: ``` abstract HypothesisTest abstract ParametricTest
This is a work-in-progress project to add compute-intensive simulation testing to HypothesisTests.jl to assess the coverage probabilities of nominal 95% CI's and the uniform distribution of p-values under the null....
Still thinking about how best to address this, but documenting this bug for posterity: ``` jl julia> using HypothesisTests julia> BinomialTest(0, 5) Binomial test ------------- Population details: parameter of interest:...