R Observatory: Metrics for poldis version 0.2.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

poldis

0.2.0Package record

Analyse Political Texts

0packages depend

2.4Kdownloads / year

20.4%test coverage

13/13flavors OK

Overview

About

Maintained by Henrique SpositoCRAN page ↗GitHub ↗Website ↗Issues ↗

Wrangle and annotate different types of political texts. It also introduces Urgency Analysis, a new method for the analysis of urgency in political texts.

Changes in 0.2.0

2026-09-17

Package

Added a US presidential speeches vignette presenting a case study with plots
Improved documentation and examples across exported functions
Improved README to be shorter and clearer
Fixed tests to skip gracefully when spaCy (Python) is unavailable, rather than erroring
Removed ORCID field from DESCRIPTION to avoid CRAN submission issues

Functions

Renamed extract_title() to extract_first_sentence() to be more descriptive
Removed extract_date()
Removed sim_urgency() for now, as it does not work well with the updated get_urgency()
Improved annotate_text() to parse large text vectors in chunks, avoiding memory issues and R crashes

Show all changes in 0.2.0Hide the rest of the changes in 0.2.0

Improved annotate_text() to initialise the spaCy backend only once, increasing efficiency
Improved get_urgency() to score from word stems instead of lemmas, increasing accuracy and speed
Improved get_urgency() scoring so that the urgency score is the sum of the other dimensions divided by the "must" score
Added a "min" option to the summarise argument of get_urgency()
Fixed get_urgency() to return 0s, rather than NAs, when scores are genuinely zero
Fixed get_urgency() where spacing was being replaced by dots
Improved gather_topics() to match on word stems instead of lemmas, increasing accuracy and speed
Fixed a bug in priority identification in select_priorities()
Improved read_pdf() detection of non-readable PDFs

Data

Renamed and replaced US_News_Conferences_1960_1980 with US_inaugural_addresses_1993_2025
Improved internal data to a single dataset with scores from the second urgency survey
Removed the urgency codebook (please refer to the paper for details)
Moved raw replication data to a separate data branch to reduce package size

From NEWS.md in the release

Install

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

install.packages("poldis", 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("henriquesposito/poldis")

Development version from henriquesposito/poldis. 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-poldis

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-poldis

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-poldis

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: 2.9 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 0.2.0

READMEYes · 19,869 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 0.2.0Citation fileYes · cites a publicationWebsiteYes · pkgdown

Help pages: 14
Examples that run: 8%1 run in a plain check · 5 only when donttest examples are enabled (R CMD check --as-cran) · 6 hold no code
Exported functions with examples: 92%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 7%

Vignettes (1)

Is climate change a priority for US presidents? HTML

How these are measured

Downloads

2.4K

CRAN downloads in the past year

Rank #14,140 · ~7/day · ~204/mo

Releases R versions

Daily download trend is not available in this view yet.

37830 days

83490 days

2.4K1 year

Compare downloads with other packages →

Also on114 r2u4 autocran

How downloads are counted

Repository

henriquesposito/poldis ↗Account: henriquesposito

5Stars

0Forks

7Open issues

0Open PRs

6Releases

566Commits

6Commit identities

566 commits · Last activity 2026-09-18 · 0% stars, 30d · Discussions: 1 post

Responsiveness

How these are sampled

PRs merged (all time): 92%
Median days to close, 50 most recently updated closed issues: 325
Median days to close, 50 most recently updated closed PRs: 0

Stars over time

2024-08-03 · 32026-09-06 · 5

How these are measured

PracticesBeta

15 development-tooling and community-health practices detected across 6 families in the upstream repository

Checks run against github.com/henriquesposito/poldis on 2026-10-21.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows

Governance and community (4)

Code of conductContributing guideIssue templatesPR template

Docs source (4)

README.Rmdpkgdown

GitHub Pages site last deployed 2026-09-18 · The repository has a site deploy workflow

Coverage (1)

Coverage reporting

Show all practicesHide 2 practices

CRAN release process (2)

cran-comments.mdCRAN-SUBMISSION

Lint, format, editor (2)

Lint workflowRStudio project

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

Dependencies

Declared dependencies

24 external dependencies (excludes base and recommended)

Installing poldis adds 56 packages (30 with compiled code, 47 MB of source tarballs). Heaviest: stringi 11 MB, data.table 5.7 MB, quanteda 4.2 MB.

Depends (1)

R >= 3.5.0

Imports (9)

dplyr stringr purrr stringi quanteda spacyr textstem tidyr stringdist

LinkingTo (0)

none

Suggests (15)

rmarkdown testthat tesseract quanteda.textstats keyATM messydates pdftools fmsb ggplot2 tm cli knitr ggthemes modelsummary scales

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 (3)

Henrique Sposito

Maintainer since 0.1.1 (2024), Author, Contributor

James Hollway

Contributor

Jael Tan

Contributor

Releases (3)

Pick two releases to compare their code metrics.

0.2.0Latest
record
2026-09-18 · current release · diff ↗ ·
removed 3 exports
extract_date, extract_title, sim_urgency

added 1 export
extract_first_sentence
R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
0.1.2
record
2024-09-04 · diff ↗ ·
added 1 export
sim_urgency
0.1.1
record
2024-07-21
R
R 4.4.0 released · 2024-04-24

Package metadata

First published: 2024-07-21
Total releases: 3 / 2 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 3.5.0
Bundled data: 31 KB / 1 file
Download size: 1.2 MB

Cite

Cite this package

Run in R for the authors' entry:

citation("poldis")

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 poldis version 0.2.0 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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