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Support for simple linear regression would be nice :)
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`B_full = M * B_reduced`
example: MNLogit reduced to stereotype Logit, `slogit` in Stata
but this also has the same structure as cointegrating regression (VAR).
see slogit references, and similar m…
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### Title
Psy2R - an R package for better inference in multivariate statistical analysis
### Short description and the goals for the OHBM BrainHack
We consistently use massive datasets across neuro…
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The Templ et al article uses several methods for outlier detection.
A bit ad-hoc. uses Box-Cox transformation of data. Methods are not distribution specific.
Might be good to get an overview of wh…
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While preparing to present a multivariate Gaussian clustering model, it occurred to me to check whether `make_niw_normal` really is a collapsed version of
```
(lambda (m0 k0 nu0 S0)
(let* ((sigma (…
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Please consider adding the complex multivariate normal distribution.
A helpful reference: [Picinbono, B. (1996). Second-order complex random vectors and normal distributions.](http://ai2-s2-pdfs.s3…
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(meta-issue to discuss location of models and directory structure)
**The main models**
- base
- regression
- discrete
- genmod
- robust
- duration a more general group of models than survival mode…
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Hello
I was wondering if it was possible to compute and export simple descriptive statistics in Orange and also to perform simple statistical tests.
Mean, median, variance, standard deviation, perce…
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I'm having trouble plotting the survival curves for a 2-group factor (sex) using the `coxph` fit.
````{R}
coxph(Surv(time = event.days, event = outcome.status) ~ sex, data = df) %>%
survfit…
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We can estimate the variance based on the difference between observations y_i - y_j if they have the same mean, or we can remove the effect of a changing mean.
examples:
- robust variance estim…