Alternatives and similar repositories for ActiveStatistics

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

• robjhyndman / weird
  That's weird: Anomaly detection using R
  ☆42Updated last month
• robjhyndman / forecasting_workshop
  ☆16Updated 2 years ago
• avehtari / casestudies
  ☆30Updated last year
• asael697 / bayesforecast
  Automatic forecasting and Bayesian modeling for time series with Stan
  ☆46Updated 4 months ago
• ropensci / dynamite
  Bayesian Inference of Complex Panel Data
  ☆35Updated 3 months ago
• flyaflya / causact
  causact: R package to accelerate computational Bayesian inference workflows in R through interactive visualization of models and their o…
  ☆48Updated last month
• akawiecki / statistical_rethinking_inla
  homework problems from the 2nd edition of Statistical Rethinking by Richard McElreath worked in R-INLA
  ☆24Updated 4 years ago
• FMenchetti / CausalMBSTS
  ☆16Updated 4 years ago
• atsa-es / atsar
  Applied time series analysis in R with Stan. Allows fast Bayesian fitting of multivariate time-series models.
  ☆48Updated last year
• integrated-inferences / CausalQueries
  Bayesian inference from binary causal models
  ☆30Updated 3 weeks ago
• ModelOriented / hstats
  Friedman's H-statistics
  ☆31Updated last week
• epiforecasts / scoringutils
  Utilities for Scoring and Assessing Predictions
  ☆56Updated last month
• frankiethull / Practical-Guide-to-Applied-Conformal-Prediction-in-R
  Supplemental R Examples on Applied Conformal Prediction. These examples follow Practical Guide to Applied Conformal Prediction in Python,…
  ☆43Updated last year
• yao-yl / hierarchical-stacking-code
  code and demo for hierarchical stacking paper
  ☆10Updated 4 years ago
• s3alfisc / fwildclusterboot
  Fast Wild Cluster Bootstrap Inference for Regression Models / OLS in R. Additionally, R port to WildBootTests.jl via the JuliaConnectoR.
  ☆29Updated last year
• tomicapretto / shiny-hmc
  A Shiny app to help people learn (and play with) Hamiltonian Monte Carlo
  ☆11Updated 8 months ago
• pachadotdev / cpp11armadillo
  The idea is to pass matrices/vectors from R to C++, write pure C++/Armadillo code for the computation, and then export the result back to…
  ☆14Updated last month
• alexpghayes / quarto-blog
  source code for personal website and blog
  ☆13Updated last week
• Larsvanderlaan / AdaptiveDML
  Adaptive debiased machine learning of treatment effects with the highly adaptive lasso
  ☆14Updated 7 months ago
• lightbluetitan / timeseriesdatasets_R
  timeseriesdatasets R Package - A collection of time series data sets for the R programming language
  ☆10Updated last year
• robjhyndman / STR_paper
  Article by Dokumentov & Hyndman on Seasonal Trend decomposition using Regression
  ☆19Updated 4 years ago
• ajnafa / Bayesian-IPW
  ☆17Updated 3 years ago
• skdeshpande91 / flexBART
  Towards a more flexible BART
  ☆22Updated 2 weeks ago
• helske / walker
  Bayesian Generalized Linear Models with Time-Varying Coefficients
  ☆45Updated last year
• cboettig / bad-forecast-good-decision
  Utility provides a more meaningful measure of forecast skill than goodness-of-fit
  ☆18Updated 3 years ago
• config-i1 / legion
  Multivariate models for forecasting purposes
  ☆12Updated 2 weeks ago
• andrewheiss / bayesf22.classes.andrewheiss.com
  📊 🌐 🧑‍🏫 Website for PhD-level independent readings course on Bayesian statistics with R and Stan, built with Quarto
  ☆43Updated 2 years ago
• bnaras / cvxr_tutorial
  useR! 2019 CVXR tutorial
  ☆29Updated 2 years ago
• bayesianops / stan-survival-model-workshop
  Building a Survival Model in Stan.
  ☆57Updated 2 years ago
• tidyverts / tsibbledata
  Example datasets for tsibble
  ☆27Updated 11 months ago