convoyinc / abayesLinks
Simulate Bayesian A/B testing algorithms and evaluate the results of A/B tests with a shiny app.
☆20Updated 7 years ago
Alternatives and similar repositories for abayes
Users that are interested in abayes are comparing it to the libraries listed below
Sorting:
- R package for Customer Behavior Analysis☆189Updated last year
- ☆135Updated last year
- Replication Files for Feit and Berman (2019) Test & Roll: Profit-Maximizing A/B Tests, Marketing Science.☆23Updated 5 years ago
- R-Package for estimating CLV☆59Updated last week
- An open-source implementation of the geo experiment analysis methodology developed at Google. Disclaimer: This is not an official Google …☆141Updated 6 years ago
- ☆97Updated 7 years ago
- R based marketing attribution and basic budget optimization using Markov Chains☆52Updated 5 years ago
- Join tables based on events occurring in sequence in a funnel.☆141Updated 2 years ago
- Hierarchical and Grouped Time Series☆111Updated 9 months ago
- Forecasting with Additive Switching of Seasonality, Trend and Exogenous Regressors☆150Updated 3 years ago
- ☆125Updated 6 years ago
- The set of functions used for time series analysis and in forecasting.☆94Updated last week
- Slide, code and data for "Applied Machine Learning" at Rstudio-conf 2019☆149Updated 6 years ago
- Convenient functions for ensemble forecasts in R combining approaches from the {forecast} package☆79Updated 3 years ago
- Feature-based Forecast Model Selection (FFORMS)☆78Updated 3 years ago
- fable extension for the prophet forecasting procedure☆57Updated last year
- Customer Churn Shiny Application☆98Updated 5 years ago
- Code snippets and tutorials for working with SparkR.☆65Updated 8 years ago
- Parallelizable Bayesian Optimization in R☆113Updated 2 years ago
- ☆78Updated 10 years ago
- autoxgboost - Automatic tuning and fitting of xgboost☆124Updated 3 years ago
- ☆50Updated 7 years ago
- A list of R Packages for marketing tools & analysis☆69Updated 6 years ago
- Blog about time series data mining in R.☆74Updated last year
- Causal Inference using Bayesian Additive Regression Trees☆84Updated 2 months ago
- A general framework for constructing partial dependence (i.e., marginal effect) plots from various types machine learning models in R.☆98Updated 3 years ago
- Stan models for state space time series☆146Updated 8 years ago
- Heterogeneous Treatment Effects☆17Updated 3 years ago
- This tutorial shows users how to evaluate advertising response using last click attribution, experiments, marketing mix models and attrib…☆28Updated 7 years ago
- All data sets required for the examples and exercises in the book "Forecasting: principles and practice" (3rd ed, 2020) by Rob J Hyndman …☆148Updated last month