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ChannelAttribution

Markov Model for Online Multi-Channel Attribution

v2.2.4 · Nov 19, 2025 · GPL-3 | file LICENSE

Description

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++.

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r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
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r-release-windows-x86_64 OK
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Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026

Reverse Dependencies (1)

Dependency Network

Dependencies Reverse dependencies Rcpp ChannelAttributionApp ChannelAttribution

Version History

new 2.2.4 Mar 9, 2026