Alternatives and similar repositories for bmem:

Users that are interested in bmem are comparing it to the libraries listed below

• mark-andrews / gesis-48-bayesian-multilevel
  Bayesian multilevel models course for Gesis 48. March 2019
  ☆13Updated 5 years ago
• woobe / useR2019_h2o_tutorial
  useR! 2019 Tutorial: Automatic and Explainable Machine Learning with H2O in R (http://www.user2019.fr/tutorials/)
  ☆26Updated 5 years ago
• LucyMcGowan / user2020-causal-inference
  ☆77Updated 4 years ago
• juliasilge / intro_to_shiny
  Introduction to Shiny workshop for satRday conference
  ☆25Updated 7 years ago
• joonho112 / Bayesian-causal-inference
  Tutorials on Stan for Bayesian causal inference
  ☆19Updated last year
• cdriveraus / ctsem
  Hierarchical continuous time state space modelling
  ☆41Updated last week
• rmcelreath / glmer2stan
  Define Stan models using glmer-style (lme4) formulas
  ☆55Updated 10 years ago
• mattblackwell / DirectEffects
  An R package for estimating controlled direct effects.
  ☆18Updated last month
• ASKurz / Bayesian_power
  Seems like, there isn’t enough Bayesian power analysis talk out there. Let’s change that.
  ☆23Updated 5 years ago
• apreshill / data-vis-labs-2018
  Principles & Practice of Data Visualization, CS631 Spring 2018
  ☆38Updated 5 years ago
• tlverse / tlverse
  📦 Your One Stop to Targeted Learning in R with the tlverse
  ☆33Updated 3 years ago
• dtkaplan / shinymark
  Files for the RStudio::conf 2019 workshop: Introduction to Shiny and R Markdown
  ☆48Updated 6 years ago
• topepo / user2018
  Slides and code for the 2018 useR! tutorial "Recipes for Data Processing"
  ☆30Updated 6 years ago
• malcolmbarrett / designing.ggplots
  Install Workshop Materials for Designing ggplots
  ☆48Updated 5 years ago
• m-clark / latent-variable-models-workshop-2019
  A workshop on latent variables models including factor analysis, PCA, SEM, etc.
  ☆16Updated 5 years ago
• ellessenne / rsimsum
  Analysis of simulation studies including Monte Carlo error
  ☆27Updated 8 months ago
• robjhyndman / ETC3580
  Teaching materials for ETC3580
  ☆24Updated 6 years ago
• holub008 / xrf
  eXtreme RuleFit (sparse linear models on XGBoost ensembles)
  ☆43Updated 2 years ago
• redichh / ShapleyR
  Package for a nice and smoothe usage of the shapley value for mlr
  ☆25Updated 5 years ago
• jkarreth / Bayes
  Code accompanying my ICPSR summer program course on Applied Bayesian Modeling.
  ☆43Updated 7 years ago
• rasmusab / bayesboot
  An R package implementing Rubin's (1981) Bayesian bootstrap.
  ☆49Updated 6 years ago
• topepo / DC-ML-2018
  Materials for the Applied Machine Learning Workshop in Washington DC
  ☆29Updated 6 years ago
• anindyamozumdar / categorical_encoding
  R code to encode categorical features for machine learning
  ☆15Updated 2 years ago
• mine-cetinkaya-rundel / teach-data-science
  Materials for the Teaching Data Science workshop at JSM 2019
  ☆21Updated 5 years ago
• andremonaco / cheapml
  Machine Learning algorithms coded from scratch
  ☆22Updated 4 years ago
• brian-j-smith / MachineShop
  MachineShop: R package of models and tools for machine learning
  ☆61Updated 4 months ago
• ksvanhorn / ART-Forum-2017-Stan-Tutorial
  Materials from tutorial "Using Stan to Estimate Hierarchical Bayes Models," ART Forum 2017
  ☆57Updated 5 years ago
• leeper / cregg
  Simple Conjoint Analyses, Tidying, and Visualization
  ☆51Updated 4 years ago
• jrnold / qss-tidy
  tidyverse code for QSS
  ☆37Updated 4 years ago
• topepo / nyr-2020
  Materials for the 2020 NYR Machine Learning workshop
  ☆21Updated 4 years ago