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", "2.0.7")



Attach the package and use:
library("ChannelAttribution")
Maintained by
Davide Altomare
[Scholar Profile | Author Map]
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
Downloads during the last 30 days
03/0503/0603/0703/0803/0903/1003/1103/1203/1303/1403/1503/1603/1703/1803/1903/2003/2103/2203/2303/2403/2503/2603/2703/2803/2903/3003/3104/0104/02Downloads for ChannelAttribution510152025303540455055606570TrendBars

Today's Hot Picks in Authors and Packages

Rexperigen  
R Interface to Experigen
Provides convenience functions to communicate with an Experigen server: Experigen ( ...
Download / Learn more Package Citations See dependency  
metaprotr  
Metaproteomics Post-Processing Analysis
Set of tools for descriptive analysis of metaproteomics data generated from high-throughput mass ...
Download / Learn more Package Citations See dependency  
PakPMICS2014HH  
Multiple Indicator Cluster Survey (MICS) 2014 Household Questionnaire Data for Punjab, Pakistan
Provides data set and function for exploration of Multiple Indicator Cluster Survey (MICS) 2014 Hous ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
GeDS  
Geometrically Designed Spline Regression
Spline Regression, Generalized Additive Models, and Component-wise Gradient Boosting, utilizing Geo ...
Download / Learn more Package Citations See dependency  
RMixpanel  
API for Mixpanel
Provides an interface to many endpoints of Mixpanel's Data Export, Engage and JQL API. The R functio ...
Download / Learn more Package Citations See dependency  

23,990

R Packages

207,311

Dependencies

64,809

Author Associations

23,991

Publication Badges

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