R Observatory: Metrics for tools4uplift version 1.0.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

tools4uplift

1.0.0Package record

Tools for Uplift Modeling

0packages depend

4.2Kdownloads / year

–test coverage

11/13flavors OK

Overview

About

Maintained by Mouloud BelbahriCRAN page ↗

Uplift modeling aims at predicting the causal effect of an action such as a marketing campaign on a particular individual. In order to simplify the task for practitioners in uplift modeling, we propose a combination of tools that can be separated into the following ingredients: i) quantization, ii) visualization, iii) variable selection, iv) parameters estimation and, v) model validation. For more details, see https://dms.umontreal.ca/~murua/research/UpliftRegression.pdf.

Install

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

install.packages("tools4uplift", 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-tools4uplift

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-tools4uplift

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-tools4uplift

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

2NOTE11OK

Check messages

NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc

Maintainer: ‘Mouloud Belbahri <mouloud.belbahri@gmail.com>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = "Mouloud",
                      family = "Belbahri",
                      role = c("aut", "cre"),
                      email = "mouloud.belbahri@gmail.com"),
               person(given = "Olivier",
                      family = "Gandouet",
                      role = "aut"),
               person(given = "Alejandro",
                      family = "Murua",
                      role = "aut"),
               person(given = c("Vahid", "Partovi"),
                      family = "Nia",
                      role = "aut"))
as necessary.

CRAN check page ↗

Slowest check: 2.3 min · r-oldrel-windows-x86_64

Status changes

NOTE11 OK, 2 NOTE2026-06-09
ERROR11 OK, 1 NOTE, 1 ERROR2026-06-07
NOTE12 OK, 2 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.0.0

READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 18
Examples that run: 94%17 run in a plain check · 1 hold no code
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 89%

How these are measured

Downloads

4.2K

CRAN downloads in the past year

Rank #15,250 · ~12/day · ~351/mo

Releases R versions

Daily download trend is not available in this view yet.

27330 days

80490 days

4.2K1 year

Compare downloads with other packages →

Also on89 r2u1 autocran75 c2d4u

How downloads are counted

Dependencies

Declared dependencies

5 external dependencies (excludes base and recommended)

Installing tools4uplift adds 29 packages (18 with compiled code, 15 MB of source tarballs). Heaviest: glmnet 2.7 MB, Rcpp 1.8 MB, RcppEigen 1.7 MB.

Depends (1)

R >= 3.1.2

Imports (5)

BiasedUrn dplyr glmnet latticeExtra lhs

LinkingTo (0)

none

Suggests (1)

lattice

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (from the free-text Author field) (4)

Maintainer since 0.1-0 (2019)

Releases (3)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
1.0.0Latest
record
2021-01-06 · current release · diff ↗ ·
removed 7 exports
BinUpliftEnhanced, DualPredict, InterPredict, QiniBarPlot, QiniCurve, QiniTable, SquareUplift

added 10 exports
BinUplift2d, PerformanceUplift, barplot.PerformanceUplift, plot.PerformanceUplift, lines.PerformanceUplift, predict.BinUplift, predict.DualUplift, predict.InterUplift, qLHS, UpliftPerCat
R
R 4.0.0 released · 2020-04-24
R
R 3.6.0 released · 2019-04-26
0.1-1
record
2019-01-29 · diff ↗
0.1-0
record
2019-01-09
R
R 3.5.0 released · 2018-04-23

Package metadata

First published: 2019-01-09
Total releases: 3 / 7 yrs
License: GPL-2 | GPL-3 OSI
Minimum R: ≥ 3.1.2
Bundled data: 151 KB / 1 file
Download size: 172 KB

Appears in task views

Causal Inference

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("tools4uplift")

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 tools4uplift version 1.0.0 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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