R Observatory: Metrics for ces version 1.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

ces

1.1.0Package record

Access to Canadian Election Study Data

0packages depend

3.2Kdownloads / year

29.2%test coverage

13/13flavors OK

Overview

About

Maintained by Laurence-Olivier M. FoisyCRAN page ↗GitHub ↗Issues ↗

Provides tools to easily access and analyze Canadian Election Study data. The package simplifies the process of downloading, cleaning, and using 'CES' datasets for political science research and analysis. The Canadian Election Study ('CES') has been conducted during federal elections since 1965, surveying Canadians on their political preferences, engagement, and demographics. Data is accessed from multiple sources including the 'Borealis' Data repository https://borealisdata.ca/ and the official 'Canadian Election Study' website https://ces-eec.arts.ubc.ca/. This package is not officially affiliated with the Canadian Election Study, 'Borealis' Data, or the University of British Columbia, and users should cite the original data sources in their work.

Changes in 1.1.0

New data

Added the **2025 Canadian Election Study** web survey, retrieved from Harvard Dataverse (doi:10.7910/DVN/2YAQ8D). Access it with get_ces("2025") or get_ces("2025", variant = "web"); the PDF technical report and codebook are available via download_pdf_codebook("2025").
Dataset coverage now spans **23 datasets from 1965 to 2025**.

Bug fixes

Restored access to the **2015 phone** and **2015 combined** (web/phone) surveys, which had stopped downloading after the original UBC host began returning an HTML bot-protection page to programmatic clients. The 2015 combined survey is now sourced from the Borealis repository, and the 2015 phone survey from a stable mirror, so both download reliably. Downloads also send a standard browser User-Agent (saved and restored on exit) for robustness against such host-side protections. Both datasets match the corresponding cesR package variants exactly (phone: 4,202 x 455, Latin1 encoding; combined: 11,614 x 665).

From NEWS.md in the release

Install

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

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

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

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("laurenceomfoisy/ces")

Development version from laurenceomfoisy/ces. Installs pak first if it is not already available.

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-ces

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-ces

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-ces

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: 1.5 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09
ERROR12 OK, 1 ERROR2026-06-08
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.1.0

READMEYes · 322 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 1.1.0Citation fileYes · software entry onlyWebsitenot declared in DESCRIPTION

Help pages: 19 (9 internal)includes a package overview page
Examples that run: 11%1 run in a plain check · 8 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 5%

Vignettes (1)

Introduction to the ces package HTML

How these are measured

Downloads

3.2K

CRAN downloads in the past year

Rank #8,099 · ~9/day · ~270/mo

Releases R versions

Daily download trend is not available in this view yet.

44230 days

1.1K90 days

3.2K1 year

Compare downloads with other packages →

Also on103 r2u5 autocran

How downloads are counted

Repository

laurenceomfoisy/ces ↗Account: laurenceomfoisy

4Stars

0Forks

0Open issues

0Open PRs

2Releases

35Commits

1Commit identities

35 commits · Last activity 2026-06-06

Responsiveness

not measured

How these are measured

PracticesBeta

5 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/laurenceomfoisy/ces on 2026-10-21.

Continuous integration (1)

GitHub Actions

Docs source (1)

README.Rmd

Reproducibility and dev environment (1)

data-raw/

CRAN release process (2)

cran-comments.mdCRAN-SUBMISSION

How this is detected·Detection ruleset v4 (2026-10-20)

AI coding toolsBeta

This repository shows signs of AI coding tools.

Claude Codefirst seen 2025-07-23
Commits: at least 8 crediting it in the message

Models named in its commits

Claude Opus 4.86 commits · Jun 2026

Counts are commits, not lines of code. Commits by a tool's accounts count once across all of its accounts. Commits crediting it are the largest count among its credit lines, a minimum.How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies

7 external dependencies (excludes base and recommended)

Installing ces adds 28 packages (15 with compiled code, 8.2 MB of source tarballs). Heaviest: vctrs 1.0 MB, dplyr 902 KB, rlang 766 KB.

Depends (1)

R >= 3.5

Imports (4)

dplyr haven tibbleutils

LinkingTo (0)

none

Suggests (4)

testthat knitr rmarkdown openxlsx

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (1)

Laurence-Olivier M. Foisy

Author, Maintainer since 0.1.0 (2025)

Releases (5)

Pick two releases to compare their code metrics.

1.1.0Latest
record
2026-06-07 · current release · diff ↗
R
R 4.6.0 released · 2026-04-24
1.0.2
record
2025-08-29 · diff ↗
1.0.1
record
2025-07-25 · diff ↗
1.0.0
record
2025-07-23 · diff ↗
0.1.0
record
2025-05-28
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2025-05-28
Total releases: 5 / 1 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 3.5
Download size: 50 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("ces")

The package provides a citation file, so citation() returns the authors' own entry.

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 ces version 1.1.0 [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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