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ChannelAttribution
View on CRAN: Click
here
Download and install ChannelAttribution package within the R console
Install from CRAN:
install.packages("ChannelAttribution")
Install from Github:
library("remotes")
install_github("cran/ChannelAttribution")
Install by package version:
library("remotes")
install_version("ChannelAttribution", "2.0.7")
Attach the package and use:
library("ChannelAttribution")
Maintained by
Davide Altomare
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.ChannelAttribution . ChannelAttribution results . ChannelAttribution.pdf . ChannelAttribution_2.0.7.tar.gz . ChannelAttribution_2.0.7.zip . ChannelAttribution_2.0.7.zip . ChannelAttribution_2.0.7.zip . ChannelAttribution_2.0.7.tgz . ChannelAttribution_2.0.7.tgz . ChannelAttribution_2.0.7.tgz . ChannelAttribution_2.0.7.tgz . ChannelAttribution_2.0.7.tgz . ChannelAttribution_2.0.7.tgz . ChannelAttribution archive . ChannelAttributionApp . https://CRAN.R-project.org/package=ChannelAttribution .
First Published: 2015-09-16
Latest Update: 2023-05-17
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++.
How to cite:
Davide Altomare (2015). ChannelAttribution: Markov Model for Online Multi-Channel Attribution. R package version 2.0.7, https://cran.r-project.org/web/packages/ChannelAttribution. Accessed 04 Apr. 2025.
Previous versions and publish date:
1.1 (2015-09-16 10:13), 1.2 (2015-10-10 01:02), 1.3 (2015-12-03 16:24), 1.4 (2016-01-08 23:15), 1.5 (2016-01-26 00:46), 1.6 (2016-06-29 22:40), 1.7 (2016-07-19 16:23), 1.8 (2016-07-26 17:47), 1.9 (2016-08-24 18:38), 1.10 (2016-12-08 01:06), 1.11 (2018-02-02 19:21), 1.12 (2018-02-05 23:06), 1.13 (2018-06-11 11:29), 1.14 (2018-08-20 17:30), 1.15 (2019-03-28 17:10), 1.16 (2019-04-10 18:35), 1.17 (2020-04-06 14:42), 1.18 (2020-04-28 14:10), 2.0.1 (2020-07-14 15:40), 2.0.2 (2020-07-27 09:32), 2.0.4 (2021-03-29 11:22), 2.0.5 (2022-02-05 11:20), 2.0.6 (2022-11-23 17:00)
Other packages that cited ChannelAttribution R package
View ChannelAttribution citation profile
Other R packages that ChannelAttribution depends,
imports, suggests or enhances
Complete documentation for ChannelAttribution
Functions, R codes and Examples using
the ChannelAttribution R package
Some associated functions: ChannelAttribution-package . Data . auto_markov_model . choose_order . heuristic_models . markov_model . transition_matrix .
Some associated R codes: ChannelAttribution.R . Full ChannelAttribution package functions and examples
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