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++.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2.2.4 |
rolling linux/jammy R-4.5 | ChannelAttribution_2.2.4.tar.gz |
256.1 KiB |
2.2.4 |
rolling linux/noble R-4.5 | ChannelAttribution_2.2.4.tar.gz |
258.9 KiB |
2.2.4 |
rolling source/ R- | ChannelAttribution_2.2.4.tar.gz |
117.6 KiB |
2.2.4 |
latest linux/jammy R-4.5 | ChannelAttribution_2.2.4.tar.gz |
256.1 KiB |
2.2.4 |
latest linux/noble R-4.5 | ChannelAttribution_2.2.4.tar.gz |
258.9 KiB |
2.2.4 |
latest source/ R- | ChannelAttribution_2.2.4.tar.gz |
117.6 KiB |
2.2.4 |
2026-04-26 source/ R- | ChannelAttribution_2.2.4.tar.gz |
117.6 KiB |
2.2.4 |
2026-04-23 source/ R- | ChannelAttribution_2.2.4.tar.gz |
117.6 KiB |
2.2.4 |
2026-04-09 windows/windows R-4.5 | ChannelAttribution_2.2.4.zip |
582.6 KiB |
2.0.7 |
2025-04-20 source/ R- | ChannelAttribution_2.0.7.tar.gz |
115.7 KiB |