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ELMSO  

Implementation of the Efficient Large-Scale Online Display Advertising Algorithm
View on CRAN: Click here


Download and install ELMSO package within the R console
Install from CRAN:
install.packages("ELMSO")

Install from Github:
library("remotes")
install_github("cran/ELMSO")

Install by package version:
library("remotes")
install_version("ELMSO", "1.0.1")



Attach the package and use:
library("ELMSO")
Maintained by
Courtney Paulson
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-09-03
Latest Update: 2020-01-18
Description:
An implementation of the algorithm described in "Efficient Large- Scale Internet Media Selection Optimization for Online Display Advertising" by Paulson, Luo, and James (Journal of Marketing Research 2018; see URL below for journal text/citation and for a full-text version of the paper). The algorithm here is designed to allocate budget across a set of online advertising opportunities using a coordinate-descent approach, but it can be used in any resource-allocation problem with a matrix of visitation (in the case of the paper, website page- views) and channels (in the paper, websites). The package contains allocation functions both in the presence of bidding, when allocation is dependent on channel-specific cost curves, and when advertising costs are fixed at each channel.
How to cite:
Courtney Paulson (2018). ELMSO: Implementation of the Efficient Large-Scale Online Display Advertising Algorithm. R package version 1.0.1, https://cran.r-project.org/web/packages/ELMSO. Accessed 06 Oct. 2026.
Previous versions and publish date:
1.0.0 (2018-09-03 13:20), 1.0.1 (2020-01-18 09:00), (2026-07-09 08:02)
Other packages that cited ELMSO R package
View ELMSO citation profile
Other R packages that ELMSO depends, imports, suggests or enhances
Complete documentation for ELMSO
Functions, R codes and Examples using the ELMSO R package
Some associated functions: ELMSO.fixed . ELMSO . reach.ELMSO.fixed . reach.ELMSO . 
Some associated R codes: ELMSO.R .  Full ELMSO package functions and examples
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