Package: ELMSO
Type: Package
Title: Implementation of the Efficient Large-Scale Online Display
        Advertising Algorithm
Version: 1.0.1
Date: 2020-1-17
Authors@R: c(person("Courtney", "Paulson", email = "courtneypaulson@suu.edu", role = c("aut", "cre")),person("Lan", "Luo", role="ctb"),person("Gareth","James",role="ctb"))
Maintainer: Courtney Paulson <courtneypaulson@suu.edu>
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 <http://faculty.marshall.usc.edu/gareth-james/Research/ELMSO.pdf>
    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.
Depends: R (>= 3.4.0)
License: GPL-3
URL: <https://journals.sagepub.com/doi/abs/10.1509/jmr.15.0307>
Repository: CRAN
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2020-01-17 21:29:35 UTC; courtneypaulson
Author: Courtney Paulson [aut, cre],
  Lan Luo [ctb],
  Gareth James [ctb]
Date/Publication: 2020-01-18 08:00:02 UTC
Built: R 4.3.3; ; 2025-01-24 07:05:18 UTC; unix
