Alternatives and similar repositories for TSAsolutions:

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

• AM207 / 2018fall
  ☆38Updated 4 years ago
• ijmbarr / reducing-variance-ab-tests
  Some notes on techniques for variance reduction to increase the power of A/B tests
  ☆14Updated 6 years ago
• jrfiedler / CASI_Python
  Python code for Computer Age Statistical Inference
  ☆52Updated 6 years ago
• Bo-Ning / Bayesian-multivariate-time-series-causal-inference
  R code for ''Bayesian method for causal inference in spatially-correlated multivariate time series''
  ☆45Updated 4 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
• cliburn / sta-663-2019
  Course notes for Computational Statistics and Statistical Compuing
  ☆63Updated 6 years ago
• Ibotta / mr_uplift
  Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…
  ☆68Updated 8 months ago
• ikinsella / AdvML-Fall-18
  A collection of useful files for the Advanced Machine Learning (GR5242) Fall 2018 course.
  ☆32Updated 6 years ago
• soerenkuenzel / causalToolbox
  ☆42Updated 3 years ago
• mainkoon81 / Study-02-AB-Testing
  Hypothesis testing (Parametric/Non-Parametric)
  ☆11Updated 5 years ago
• ucb-stat243 / stat243-fall-2016
  Course materials for Stat 243, fall 2016, at UC Berkeley
  ☆9Updated 8 years ago
• oizin / applied-predictive-modeling
  Exercises and R code related to the book Applied Predictive Modeling by Max Kuhn and Kjell Johnson
  ☆12Updated 9 years ago
• ryantibs / convexopt-book1
  Convex optimization for statistics and machine learning
  ☆16Updated 3 months ago
• slds-lmu / iml_methods_limitations
  Seminar on Limitations of Interpretable Machine Learning Methods
  ☆57Updated 4 years ago
• szilard / GBM-adv-workshop-Bp19
  Advanced GBM Workshop - Budapest, Nov 2019
  ☆12Updated 5 years ago
• fonnesbeck / bayes_tutorial_2019
  Introductory overview of Bayesian inference
  ☆44Updated 6 years ago
• softwaredeng / inTrees
  inTrees package
  ☆39Updated 11 months ago
• statcompute / mob
  Monotonic Optimal Binning in Consumer Credit Risk Scorecard Development
  ☆60Updated 4 years ago
• nalzok / tree.interpreter
  Decision tree interpreter for randomForest/ranger as described in
  ☆12Updated 5 years ago
• tedwestling / ctsCausal
  ☆10Updated 2 years ago
• TeconomicsBlog / notebooks
  ☆97Updated 7 years ago
• yixuan / COS-article
  统计之都主站 (http://cos.name/) 文章相关代码
  ☆10Updated 8 years ago
• saberpowers / causalLearning
  Methods for heterogeneous treatment effect estimation
  ☆23Updated 3 years ago
• feng-li / Python-for-Statisticians-and-Economists
  Feng Li's Python Course for Statisticians and Economists
  ☆14Updated 10 months ago
• cliburn / sta-663-2021
  Computational Statistics and Statistical Computing
  ☆37Updated 4 years ago
• IamGianluca / arm
  My solutions to the exercises in "Data Analysis Using Regression and Multilevel/Hierarchical Models" by Andrew Gelman and Jennifer Hill
  ☆80Updated 5 years ago
• PacktPublishing / Learning-Probabilistic-Graphical-Models-in-R
  Learning Probabilistic Graphical Models in R
  ☆29Updated 2 years ago
• tlverse / tmle3mopttx
  🎯 💯 Targeted Learning and Variable Importance for the Causal Effect of an Optimal Individualized Treatment Intervention
  ☆13Updated 2 years ago
• kellieotto / pscore_match
  A Python package for propensity score matching
  ☆52Updated 3 years ago
• resteorts / modern-bayes
  Modern Bayesian statistics, STA 360/602, Duke University, Department of Statistical Science
  ☆72Updated 2 years ago