Alternatives and similar repositories for bmem:

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

• 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
• juliasilge / intro_to_shiny
  Introduction to Shiny workshop for satRday conference
  ☆25Updated 8 years ago
• robjhyndman / ETC3580
  Teaching materials for ETC3580
  ☆24Updated 6 years ago
• LucyMcGowan / user2020-causal-inference
  ☆77Updated 4 years ago
• topepo / nyr-2020
  Materials for the 2020 NYR Machine Learning workshop
  ☆21Updated 4 years ago
• talegari / solitude
  An implementation of Isolation forest
  ☆24Updated 3 years ago
• jkarreth / Bayes
  Code accompanying my ICPSR summer program course on Applied Bayesian Modeling.
  ☆43Updated 7 years ago
• mattblackwell / DirectEffects
  An R package for estimating controlled direct effects.
  ☆18Updated 2 months ago
• mdneuzerling / DrakeModelling
  Combining drake workflows with R package development to train and execute a machine learning model
  ☆14Updated 4 years ago
• dtkaplan / shinymark
  Files for the RStudio::conf 2019 workshop: Introduction to Shiny and R Markdown
  ☆48Updated 6 years ago
• anindyamozumdar / categorical_encoding
  R code to encode categorical features for machine learning
  ☆15Updated 2 years ago
• datawookie / trundler
  Wrapper for Retail Pricing API
  ☆14Updated 3 months ago
• topepo / user2018
  Slides and code for the 2018 useR! tutorial "Recipes for Data Processing"
  ☆30Updated 6 years ago
• joonho112 / Bayesian-causal-inference
  Tutorials on Stan for Bayesian causal inference
  ☆19Updated last year
• bethatkinson / rmed2019_surv
  Wrangling survival data
  ☆20Updated 5 years ago
• mkearney / tidyreg
  🎓 Tidy regression tools for academics
  ☆23Updated 6 years ago
• ajnafa / Latent-Bayesian-MSM
  Taking Uncertainty Seriously: Bayesian Marginal Structural Models for Causal Inference in Political Science
  ☆18Updated 2 years ago
• mark-andrews / gesis-48-bayesian-multilevel
  Bayesian multilevel models course for Gesis 48. March 2019
  ☆13Updated 5 years ago
• graemeleehickey / joineR
  R package for fitting joint models to time-to-event and longitudinal data
  ☆18Updated last month
• ModelOriented / EIX
  Structure mining for xgboost model
  ☆26Updated 3 years ago
• leeper / cregg
  Simple Conjoint Analyses, Tidying, and Visualization
  ☆51Updated 4 years ago
• m-clark / more-mixed-models-2019
  Demonstration of alternatives to lme4
  ☆13Updated 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
• malcolmbarrett / designing.ggplots
  Install Workshop Materials for Designing ggplots
  ☆48Updated 5 years ago
• fate-ewi / bayesdfa
  Bayesian DFA with Stan
  ☆28Updated 3 months ago
• ASKurz / Bayesian_power
  Seems like, there isn’t enough Bayesian power analysis talk out there. Let’s change that.
  ☆23Updated 5 years ago
• MangoTheCat / explainable-machine-learning-workshop
  Material for the Explainable Machine Learning Workshop
  ☆18Updated 5 years ago
• tlverse / tlverse
  📦 Your One Stop to Targeted Learning in R with the tlverse
  ☆33Updated 3 years ago
• markusdumke / reinforcelearn
  R Package for Reinforcement Learning
  ☆33Updated 2 years ago
• tjmahr / MadR_Pipelines
  Slides and materials for my talk to the Madison R Users Group
  ☆33Updated 9 years ago