R brm Projects
brms R package for Bayesian generalized multivariate non-linear multilevel models using StanProject 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.
R brms related posts
[R] Are there methods for ridge and lasso regression that allow the introduction of weights to give more importance to some observations?
2 projects | reddit.com/r/MachineLearning | 23 Aug 2021
Package for :Generalized Mixed Effects Models for Zero-Inflated Negative Binomial distributions ?
1 project | reddit.com/r/rstats | 30 Jul 2021
1 project | reddit.com/r/AskStatistics | 16 Jul 2021
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?
3 projects | reddit.com/r/AskStatistics | 25 Apr 2021
Brms: adding on a nonlinear component to working MLM model
2 projects | reddit.com/r/AskStatistics | 28 Feb 2021
Are you hiring? Post a new remote job listing for free.