Brms Alternatives

Reviews and mentions

• [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

  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.

• Package for :Generalized Mixed Effects Models for Zero-Inflated Negative Binomial distributions ?
  1 project | reddit.com/r/rstats | 30 Jul 2021

  brms baby

• Multiple observers
  1 project | reddit.com/r/AskStatistics | 16 Jul 2021

  Could also be done using brms and the gr term. See this for the motivation behind this syntax.

• 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

  Anyway, I found I can include weights into the brm function by using gr(RE, by = var) to deal with the heterogeneous variance and it should automatically assume that each observation within a group is correlated according to the brms reference manual.

• Brms: adding on a nonlinear component to working MLM model
  2 projects | reddit.com/r/AskStatistics | 28 Feb 2021

  This is what actually should work- I must be declaring my variables incorrectly. The issue I'm having is that what you refer to as lin , I tried calling a few things, from b to LinPred (which worked in the link here: brms issue 47). When I've tried doing this, I receive errors that say "The following variables are missing from the dataset....[insert variable used to symbolize linear part of the model)". But I believe you're code is on the right path for what needs to be done- I'll try altering my syntax to be sure it resembles yours let you know if it works.

  2 projects | reddit.com/r/AskStatistics | 28 Feb 2021

  Unfortunately, I can't just tag it onto to the working linear piece because brms doesn't allow for more than 2 level factor covariates in NL formulas. After much googling, I was able to find these brms github posts: 46 47 where they discuss how a NL component can be added. I've tried the syntax used, but it's still throwing errors. Here is one syntax I tried, going off of the information on those two links (where b1=lambda, b2= kappa)