Package: ChannelAttribution 2.0.7
Davide Altomare
ChannelAttribution: Markov Model for Online Multi-Channel Attribution
Advertisers use a variety of online marketing channels to reach consumers and they want to know the degree each channel contributes to their marketing success. This is called online multi-channel attribution problem. This package contains a probabilistic algorithm for the attribution problem. The model uses a k-order Markov representation to identify structural correlations in the customer journey data. The package also contains three heuristic algorithms (first-touch, last-touch and linear-touch approach) for the same problem. The algorithms are implemented in C++.
Authors:
ChannelAttribution_2.0.7.tar.gz
ChannelAttribution_2.0.7.tar.gz(r-4.5-noble)ChannelAttribution_2.0.7.tar.gz(r-4.4-noble)
ChannelAttribution_2.0.7.tgz(r-4.4-emscripten)ChannelAttribution_2.0.7.tgz(r-4.3-emscripten)
ChannelAttribution.pdf |ChannelAttribution.html✨
ChannelAttribution/json (API)
# Install 'ChannelAttribution' in R: |
install.packages('ChannelAttribution', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- Data - Customer journeys data.
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:62c0309ff4. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 20 2024 |
R-4.5-linux-x86_64 | OK | Nov 20 2024 |
Exports:auto_markov_modelchoose_orderheuristic_modelsmarkov_modeltransition_matrix
Dependencies:RcppRcppArmadillo
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Markov Model for Online Multi-Channel Attribution | ChannelAttribution-package ChannelAttribution |
Automatic Markov Model. | auto_markov_model |
Choose order for Markov model. | choose_order |
Customer journeys data. | Data |
Heuristic models for the online attribution problem. | heuristic_models |
Markov model for the online attribution problem. | markov_model |
Transition matrix. | transition_matrix |