Other packages > Find by keyword >

ChannelAttribution  

Markov Model for Online Multi-Channel Attribution
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", "2.2.4")



Attach the package and use:
library("ChannelAttribution")
Maintained by
Davide Altomare
[Scholar Profile | Author Map]
All associated links for this package
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 2.2.4, https://cran.r-project.org/web/packages/ChannelAttribution. Accessed 04 Jun. 2026.
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), 2.0.7 (2023-05-17 21:20), 2.2.2 (2025-11-02 07:11), 2.2.3 (2025-11-17 17:30)
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
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
crplyr  
A 'dplyr' Interface for Crunch
In order to facilitate analysis of datasets hosted on the Crunch data platform ...
Download / Learn more Package Citations See dependency  
phers  
Calculate Phenotype Risk Scores
Use phenotype risk scores based on linked clinical and genetic data to study Mendelian disease and ...
Download / Learn more Package Citations See dependency  
AMPLE  
Shiny Apps to Support Capacity Building on Harvest Control Rules
Three Shiny apps are provided that introduce Harvest Control Rules (HCR) for fisheries management. ...
Download / Learn more Package Citations See dependency  
golem  
A Framework for Robust Shiny Applications
An opinionated framework for building a production-ready 'Shiny' application. This package contains ...
Download / Learn more Package Citations See dependency  
murphydiagram  
Murphy Diagrams for Forecast Comparisons
Data and code for the paper by Ehm, Gneiting, Jordan and Krueger ('Of Quantiles and Expectiles: Con ...
Download / Learn more Package Citations See dependency  

27,268

R Packages

233,548

Dependencies

72,590

Author Associations

27,205

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA