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Hello,
What is the best way to refer to the test **_spm1d.stats.nonparam.ttest2(A,B)_** in a manuscript ?
Does this test has a specific name that could be used for a non-stat expert audience ? I…
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### Description
Won't compute Friedman test
### Purpose
Non parametric test for repeated measures ANOVA
### Use-case
_No response_
### Is your feature request related to a problem?
Yes. There a…
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Hello!👋
I have a problem which involves 2D B-spline computation. It needs to be solved many times with different spline coefficients. Therefore I'm using a parametric spline.
**Expectation:** pa…
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### Basics
- [x] 1. Intro to R (1) (Part 1)
- [x] 2. Intro to tidyverse (1) (Part 1)
- [x] 3. Data visualization with ggplot2 (1) (Part 1)
- [x] 8. Exploratory data analysis (1) (Part 1)
### …
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(I don't see an issue, but I thought it was mentioned before.)
Stata has accelerated failure time and proportional hazard parametric survival models. Implementing those is a GSOC idea that doesn't …
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The following functionality is being developed for future versions of **spm1d**:
**STATISTICS**
- P values for non-significant results
- Direction selection ("positive" or "negative") for one-tai…
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Let's use this issue to coordinate the statistics / math notebooks as part of the fundamentals. We can move these out to a separate repo later if that makes more sense organization-wise.
Below are …
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* Enhancement: Easy to understand and easy to compare non-parametric effect size measures ("probability of superiority") are lacking in most statistical analysis software
* Purpose: **Include sta…
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Using ranked data in regression or standard hypothesis tests is close to their rank based counterparts in hypothesis tests.
example in ` statsmodels.sandbox.stats.multicomp.MultiComparison` I had a…
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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…