R Stan Projects
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Project mention: [R] Are there methods for ridge and lasso regression that allow the introduction of weights to give more importance to some observations? | reddit.com/r/MachineLearning | 2021-08-23
I think the brms package (https://github.com/paul-buerkner/brms) or the blavaan package (http://ecmerkle.github.io/blavaan/) have support for SEM. I've never done it myself, so I unfortunately can't give you any direction for that in particular. However, I have used stan in multi-level meta-analysis regression (combining multiple CRISPRa experiments to find determinants of CRISPRa activity, see https://github.com/timydaley/CRISPRa-sgRNA-determinants/blob/master/metaAnalysis/NeuronAndSelfRenewalMetaMixtureRegression.Rmd) and had some success.
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
The latest post mention was on 2021-08-23.
R Stan related posts
- [R] Are there methods for ridge and lasso regression that allow the introduction of weights to give more importance to some observations?
- Package for :Generalized Mixed Effects Models for Zero-Inflated Negative Binomial distributions ?
- Multiple observers
- I have a small sample size time series with potentially lagged predictor values which are also time series. What could be potential methods to analyse these data?
- Brms: adding on a nonlinear component to working MLM model
Index
| Project | Stars | |
|---|---|---|
| 1 | brms | 939 |
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