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:Davide Altomare [cre, aut], David Loris [aut]

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'))

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • Data - Customer journeys data.

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

5 exports 23 stars 2.05 score 2 dependencies 1 dependents 47 scripts 878 downloads

Last updated 1 years agofrom:62c0309ff4. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 22 2024
R-4.5-linux-x86_64OKAug 22 2024

Exports:auto_markov_modelchoose_orderheuristic_modelsmarkov_modeltransition_matrix

Dependencies:RcppRcppArmadillo