mplatzer / BTYDplusLinks
R package for Customer Behavior Analysis
☆189Updated last year
Alternatives and similar repositories for BTYDplus
Users that are interested in BTYDplus are comparing it to the libraries listed below
Sorting:
- ☆135Updated last year
- fixed BTYD, the R package for customer lifetime value☆21Updated 9 years ago
- An open-source implementation of the geo experiment analysis methodology developed at Google. Disclaimer: This is not an official Google …☆138Updated 5 years ago
- R-Package for estimating CLV☆57Updated 2 months ago
- ☆97Updated 7 years ago
- 🐢 bayesAB: Fast Bayesian Methods for A/B Testing☆315Updated 4 years ago
- Forecasting with Additive Switching of Seasonality, Trend and Exogenous Regressors☆150Updated 2 years ago
- vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distr…☆285Updated 5 months ago
- ☆50Updated 7 years ago
- ☆78Updated 9 years ago
- Code snippets and tutorials for working with SparkR.☆66Updated 8 years ago
- An R package that makes xgboost models fully interpretable☆256Updated 7 years ago
- Hierarchical and Grouped Time Series☆111Updated 6 months ago
- Simulate Bayesian A/B testing algorithms and evaluate the results of A/B tests with a shiny app.☆20Updated 7 years ago
- R based marketing attribution and basic budget optimization using Markov Chains☆50Updated 5 years ago
- Calculating Customer Lifetime Value (CLV) with Recency, Frequency, and Monetary (RFM)☆50Updated 4 years ago
- Convenient functions for ensemble forecasts in R combining approaches from the {forecast} package☆79Updated 2 years ago
- This is a read-only mirror of the CRAN R package repository. ChannelAttribution — Markov Model for Online Multi-Channel Attribution. Ho…☆24Updated 2 years ago
- Blog about time series data mining in R.☆74Updated last year
- This is a read-only mirror of the CRAN R package repository. BTYD — Implementing BTYD Models with the Log Sum Exp Patch Report bugs fo…☆15Updated 3 years ago
- My solutions to the exercises in "Data Analysis Using Regression and Multilevel/Hierarchical Models" by Andrew Gelman and Jennifer Hill☆81Updated 5 years ago
- All material for "Modeling big data with R, sparklyr, and Apache Spark" Strata Hadoop 2017.☆63Updated 5 years ago
- Information Package☆44Updated 9 years ago
- Slide, code and data for "Applied Machine Learning" at Rstudio-conf 2019☆148Updated 6 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
- An implementation of the shifted-beta-geometric (sBG) model from Fader and Hardie's "How to Project Customer Retention" (2006)☆58Updated 4 years ago
- recommenderlab - Lab for Developing and Testing Recommender Algorithms - R package☆215Updated 3 weeks ago
- GeoLift is an end-to-end geo-experimental methodology based on Synthetic Control Methods used to measure the true incremental effect (Lif…☆10Updated 3 years ago
- Introduction to Empirical Bayes: Examples from Baseball Statistics☆194Updated 4 years ago
- Temporal HIErarchical Forecasting☆47Updated last year