Alternatives and similar repositories for GeoexperimentsResearch

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

• klarsen1 / MarketMatching
  ☆134Updated last year
• facebookincubator / GeoLift
  GeoLift is an end-to-end geo-experimental methodology based on Synthetic Control Methods used to measure the true incremental effect (Lif…
  ☆200Updated 11 months ago
• google / amss
  ☆50Updated 6 years ago
• google / trimmed_match
  This Python library implements Trimmed Match for analyzing randomized paired geo experiments and also implements Trimmed Match Design for…
  ☆70Updated 2 years ago
• google / matched_markets
  Matched Markets is a Python library for design and analysis of Geo experiments using Matched Markets and Time Based Regression.
  ☆89Updated 2 months ago
• google / abpackage
  An R package for AB testing leveraging pre-period information
  ☆67Updated 5 years ago
• mplatzer / BTYDplus
  R package for Customer Behavior Analysis
  ☆189Updated last year
• facebookexperimental / siMMMulator
  siMMMulator is an open source R-package that helps users to generate simulated data to plug into Marketing Mix Models (MMMs). The package…
  ☆50Updated last year
• ArturoEsquerra / GeoLift
  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
• bachmannpatrick / CLVTools
  R-Package for estimating CLV
  ☆57Updated last month
• google / tfp-causalimpact
  ☆114Updated last year
• TeconomicsBlog / notebooks
  ☆97Updated 7 years ago
• convoyinc / abayes
  Simulate Bayesian A/B testing algorithms and evaluate the results of A/B tests with a shiny app.
  ☆20Updated 7 years ago
• jamalsenouci / causalimpact
  Python port of CausalImpact R library
  ☆286Updated last year
• MatCyt / Markov-Chain
  R based marketing attribution and basic budget optimization using Markov Chains
  ☆50Updated 5 years ago
• microsoft / SparseSC
  Fit Sparse Synthetic Control Models in Python
  ☆82Updated last year
• ashish-kamboj / Market-Mix-Modeling
  Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales
  ☆41Updated 4 years ago
• leopoldavezac / BayesianMMM
  (ml) - python implementation of bayesian media mix modelling with shape and carryover effect
  ☆58Updated 3 years ago
• cran / ChannelAttribution
   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
• DoktorMike / dammmdatagen
  Marketing Mix Modeling Data Generator
  ☆45Updated 3 years ago
• eeghor / mta
  Multi-Touch Attribution
  ☆116Updated 3 years ago
• DavisTrey / ExperimentationResources
  A list of blogs, videos, and other content that provides advice on building experimentation and A/B testing platforms
  ☆157Updated 2 years ago
• mhnierhoff / R-marketing-analysis-packages
  A list of R Packages for marketing tools & analysis
  ☆69Updated 6 years ago
• sibylhe / mmm_stan
  Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS
  ☆382Updated 3 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
• WinVector / vtreat
  vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distr…
  ☆285Updated 4 months ago
• google / empirical_calibration
  ☆44Updated last year
• Minyus / causallift
  CausalLift: Python package for causality-based Uplift Modeling in real-world business
  ☆348Updated 2 years ago
• annalectnl / weibull-adstock
  Modeling adstock in media mix modeling using Weibull transformations.
  ☆16Updated 5 years ago
• susanathey / causalTree
  Working repository for Causal Tree and extensions
  ☆443Updated last month