R Observatory: Metrics for ChannelAttribution version 2.2.5

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

ChannelAttribution

2.2.5Package record

Markov Model for Online Multi-Channel Attribution

1packages depend

10.8Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Davide AltomareCRAN page ↗Website ↗

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++.

Install

R (CRAN)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("ChannelAttribution", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-channelattribution

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-ChannelAttribution

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-ChannelAttribution

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 2.8 min · r-devel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-04-22
ERROR13 OK, 1 ERROR2026-04-18
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 2.2.5

READMENoVignettesNoNEWSNoCitation fileNoWebsiteYes

Help pages: 8includes a package overview page
Examples that run: 0%6 never run
Exported functions with examples: 100%
Documented parameters: not tracked
Return-value docs: not tracked
Help pages citing references: 13%

How these are measured

Downloads

10.8K

CRAN downloads in the past year

Rank #4,292 · ~30/day · ~900/mo

Releases R versions

Daily download trend is not available in this view yet.

78530 days

2K90 days

10.8K1 year

Compare downloads with other packages →

Also on458 r2u13 autocran

How downloads are counted

Dependencies

Declared dependencies

5 external dependencies (excludes base and recommended)

Installing ChannelAttribution adds 2 packages (2 with compiled code, 2.8 MB of source tarballs). Heaviest: Rcpp 1.8 MB, RcppArmadillo 1.0 MB.

Depends (0)

none

Imports (1)

Rcpp

LinkingTo (2)

Rcpp RcppArmadillo

Suggests (2)

curl jsonlite

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

1direct

0indirect

Imports 1

Depends, Imports or LinkingTo, most downloaded first

ChannelAttributionApp

How these are counted

Code & Tests

Datasets

People & History

People (2)

Davide Altomare

Maintainer since 1.1 (2015), Author

David Loris

Author

Releases (28)

Pick two releases to compare their code metrics.

2.2.5Latest
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2026-06-08 · current release · diff ↗
R
R 4.6.0 released · 2026-04-24
2.2.4
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2025-11-19 · diff ↗
2.2.3
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2025-11-17 · diff ↗
2.2.2
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2025-11-02 · diff ↗
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
2.0.7
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2023-05-17 · diff ↗
R
R 4.3.0 released · 2023-04-21
2.0.6
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2022-11-23 · diff ↗
R
R 4.2.0 released · 2022-04-22
2.0.5
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2022-02-05 · diff ↗
R
R 4.1.0 released · 2021-05-18
2.0.4
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2021-03-29 · diff ↗
2.0.2
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2020-07-27 · diff ↗
2.0.1
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2020-07-14 · diff ↗

Show 26 earlier eventsHide 26 earlier events

1.18
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2020-04-28 · diff ↗
R
R 4.0.0 released · 2020-04-24
unarchivedReturned to CRAN
2020-04-06
1.17
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2020-04-06 · diff ↗
archivedRemoved from CRAN
2020-03-31
installation problems were not corrected in time
R
R 3.6.0 released · 2019-04-26
1.16
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2019-04-10 · diff ↗
1.15
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2019-03-28 · diff ↗
1.14
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2018-08-20 · diff ↗
1.13
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2018-06-11 · diff ↗
R
R 3.5.0 released · 2018-04-23
1.12
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2018-02-05 · diff ↗
1.11
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2018-02-02 · diff ↗
R
R 3.4.0 released · 2017-04-21
1.10
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2016-12-08 · diff ↗
1.9
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2016-08-24 · diff ↗
1.8
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2016-07-26 · diff ↗
1.7
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2016-07-19 · diff ↗
1.6
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2016-06-29 · diff ↗
R
R 3.3.0 released · 2016-05-03
1.5
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2016-01-26 · diff ↗
1.4
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2016-01-08 · diff ↗
1.3
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2015-12-03 · diff ↗
1.2
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2015-10-10 · diff ↗
1.1
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2015-09-16
R
R 3.2.0 released · 2015-04-16

Package metadata

First published: 2015-09-16
Total releases: 28 / 11 yrs
License: GPL-3 | file LICENSE OSI
Bundled data: 93 KB / 1 file
Download size: 118 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ChannelAttribution")

Format

Altomare, D., & Loris, D. (2026). ChannelAttribution: Markov Model for Online Multi-Channel Attribution (Version 2.2.5) [Computer software]. https://doi.org/10.32614/CRAN.package.ChannelAttribution

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for ChannelAttribution version 2.2.5 [Data set]. HJJB, LLC. Data release v2026-10-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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