Package: ChannelAttribution 2.2.5

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_2.2.5.tar.gz
ChannelAttribution_2.2.5.tar.gz(r-4.7-arm64)ChannelAttribution_2.2.5.tar.gz(r-4.7-x86_64)ChannelAttribution_2.2.5.tar.gz(r-4.6-arm64)ChannelAttribution_2.2.5.tar.gz(r-4.6-x86_64)
ChannelAttribution_2.2.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
ChannelAttribution/json (API)

# Install 'ChannelAttribution' in R:
install.packages('ChannelAttribution', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • Data - Customer journeys data.

On CRAN:

Conda:

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

cpp

4.10 score 24 stars 1 packages 58 scripts 879 downloads 6 exports 2 dependencies

Last updated from:efff8a1a91. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK165
linux-devel-x86_64OK152
source / vignettesOK148
linux-release-arm64OK171
linux-release-x86_64OK133
wasm-releaseOK137

Exports:auto_markov_modelchoose_orderheuristic_modelsinstall_promarkov_modeltransition_matrix

Dependencies:RcppRcppArmadillo