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This should be a curated list of related packages, especially to statistics and econometrics topics that statsmodels does not (yet) provide.
(not complete adding links as found, not sorted and orga…
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STAT 504 - Analysis of Discrete Data: https://online.stat.psu.edu/stat504/node/70/
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another followup to PR #6971 which adds brunner munzel and extensions for P(x1 > x2) + 0.5 P(x1 = x2) for the two sample case.
see also #6523 for more general cases of using rank transform.
- meta…
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triggered by #3622
DiD in the simplest case is just the interaction effect of time and group dummies in OLS
What support to we need? What extensions and related models would be useful?
### asym…
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@ragulpr,
Spent the last very interesting month split between trying to implement this in R or magically arrive at a sufficient understanding of python to apply to this kaggle challenge:
https://w…
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The Bartels rank test for randomness can be used to check the randomness assumption of residuals in Regression.
This test should be part of `HypothesisTest.jl`
We should do PR in `HypothesisTe…
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see also #4046
random notes because results are all over the literature, and it's often difficult to find a specific item
- multivariate copulas, formulas for Frank, Gumbel and Cook-Johnson
S…
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We currently use delays in several places and could be doing so via a submodule. This could be called several things.
I see it being used to:
- Model reporting delays
- Model generation times…
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Hamiltonian Monte Carlo (HMC) is a widely used, gradient based, MCMC algorithm, that is the backbone of Stan's inference. I plan to implement it for monad-bayes. Todos (checkboxes indicate things done…
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Hello!
First of all, thank you for creating this wonderful R package 😊.
I have fitted the following psem, which consists of a list of phylogenetic least squared models (gls):
psem(gls(genome_…