Alternatives and similar repositories for mixtureSPRT:

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

• gostevehoward / confseq
  Confidence sequences and uniform boundaries
  ☆61Updated 2 months ago
• FlorianWilhelm / bhm-at-scale
  🪜 Bayesian Hierarchical Models at Scale
  ☆52Updated 3 years ago
• earowang / hts
  Hierarchical and Grouped Time Series
  ☆110Updated 3 weeks ago
• bachmannpatrick / CLVTools
  R-Package for estimating CLV
  ☆55Updated last month
• nredell / shapFlex
  An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model
  ☆73Updated 4 years ago
• thiyangt / seer
  Feature-based Forecast Model Selection (FFORMS)
  ☆79Updated 2 years ago
• zalandoresearch / ACIC23-competition
  Data for and description of the ACIC 2023 data competition
  ☆32Updated last year
• convoyinc / abayes
  Simulate Bayesian A/B testing algorithms and evaluate the results of A/B tests with a shiny app.
  ☆21Updated 6 years ago
• xuanyin / causal-mediation-analysis-for-ab-tests
  The Identification and Estimation of Direct and Indirect Effects in A/B Tests through Causal Mediation Analysis
  ☆23Updated 2 years ago
• lee-group-cmu / RFCDE
  Random Forests for Conditional Density Estimation
  ☆41Updated 3 years ago
• nlapier2 / PySensemakr
  Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr
  ☆48Updated last month
• Ibotta / mr_uplift
  Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…
  ☆66Updated 5 months ago
• Nth-iteration-labs / contextual
  Contextual Bandits in R - simulation and evaluation of Multi-Armed Bandit Policies
  ☆79Updated 4 years ago
• microsoft / SparseSC
  Fit Sparse Synthetic Control Models in Python
  ☆81Updated 9 months ago
• PlaytikaOSS / uplift-analysis
  A Python library that implements scoring utilities, analysis strategies, and visualization methods which can serve uplift modeling use-ca…
  ☆22Updated last year
• ryantibs / conformal
  Tools for conformal inference in regression
  ☆229Updated 4 months ago
• StatMixedML / CatBoostLSS
  An extension of CatBoost to probabilistic modelling
  ☆142Updated last year
• JingyuHe / XBART
  ☆90Updated last month
• vdorie / aciccomp
  Code to run submissions for the Atlantic Causal Inference Competition
  ☆42Updated 5 months ago
• vdorie / bartCause
  Causal Inference using Bayesian Additive Regression Trees
  ☆78Updated 4 months ago
• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆47Updated 3 years ago
• nredell / forecastML
  An R package with Python support for multi-step-ahead forecasting with machine learning and deep learning algorithms
  ☆131Updated 4 years ago
• lorismichel / drf
  Distributional Random Forests (Cevid et al., 2020)
  ☆38Updated last year
• robjhyndman / thief
  Temporal HIErarchical Forecasting
  ☆48Updated last year
• ModelOriented / SAFE
  Surrogate Assisted Feature Extraction
  ☆36Updated 3 years ago
• ja-thomas / autoxgboost
  autoxgboost - Automatic tuning and fitting of xgboost
  ☆122Updated 3 years ago
• stephenbates19 / nestedcv
  Nested cross-validation for accurate confidence intervals for prediction error.
  ☆41Updated 2 years ago
• socket778 / XBCF
  R and python implementations of Accelerated Bayesian Causal Forest.
  ☆25Updated 6 months ago
• franrruiz / shopper-src
  Code for Shopper, a probabilistic model of shopping baskets
  ☆52Updated 4 years ago
• config-i1 / smooth
  The set of functions used for time series analysis and in forecasting.
  ☆89Updated last week