R Observatory: Metrics for KHQ version 0.2.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

KHQ

0.2.0Package record

Methods for Calculating 'KHQ' Scores and 'KHQ5D' Utility Index Scores

0packages depend

2.4Kdownloads / year

62.9%test coverage

13/13flavors OK

Overview

About

Maintained by Luiz Augusto BrusacaCRAN page ↗GitHub ↗Issues ↗

The King's Health Questionnaire (KHQ) is a disease-specific, self-administered questionnaire designed specific to assess the impact of Urinary Incontinence (UI) on Quality of Life. The questionnaire was developed by Kelleher and collaborators (1997) doi:10.1111/j.1471-0528.1997.tb11006.x. It is a simple, acceptable and reliable measure to use in the clinical setting and a research tool that is useful in evaluating UI treatment outcomes. The KHQ five dimensions (KHQ5D) is a condition-specific preference-based measure developed by Brazier and collaborators (2008) doi:10.1177/0272989X07301820. Although not as popular as the SF6D doi:10.1016/S0895-4356(98)00103-6 and EQ-5D https://euroqol.org/, the KHQ5D measures health-related quality of life (HRQoL) specifically for UI, not general conditions like the others two instruments mentioned. The KHQ5D ca be used in the clinical and economic evaluation of health care. The subject self-rates their health in terms of five dimensions: Role Limitation (RL), Physical Limitations (PL), Social Limitations (SL), Emotions (E), and Sleep (S). Frequently the states on these five dimensions are converted to a single utility index using country specific value sets, which can be used in the clinical and economic evaluation of health care as well as in population health surveys. This package provides methods to calculate scores for each dimension of the KHQ; converts KHQ item scores to KHQ5D scores; and also calculates the utility index of the KHQ5D.

Changes in 0.2.0

Adding a new Comulative Frequency Analysis function (KHQ5DFreq) for the health profiles.
Adding 'mean.na' option to KHQScore function to handle missing data
Adding the option to show the vector with the weights of each KHQ5D score in the KHQ5D function

From NEWS.md in the release

Install

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

install.packages("KHQ", 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("augustobrusaca/KHQ")

Development version from augustobrusaca/KHQ. 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-khq

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-KHQ

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-KHQ

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: 1.2 min · r-devel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.2.0

READMEYes · 919 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 0.2.0Citation fileNoWebsitenot declared in DESCRIPTION

Help pages: 9 (1 internal)includes a package overview page
Examples that run: 57%4 run in a plain check · 3 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: 44%

Vignettes (1)

Calculating KHQ scores, converting KHQ items to KHQ5D scores, and calculating utility index scores of the KHQ5D HTML

How these are measured

Downloads

2.4K

CRAN downloads in the past year

Rank #21,475 · ~7/day · ~199/mo

Releases R versions

Daily download trend is not available in this view yet.

22730 days

61890 days

2.4K1 year

Compare downloads with other packages →

Also on66 r2u2 autocran

How downloads are counted

Repository

augustobrusaca/khq ↗Account: augustobrusaca

0Stars

0Forks

0Open issues

0Open PRs

2Releases

50Commits

1Commit identities

50 commits · Last activity 2021-08-09

Responsiveness

not measured

Releases over time

2021-08-06 · 22026-07-07 · 2

How these are measured

PracticesBeta

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

Checks run against github.com/augustobrusaca/khq on 2026-10-21.

Continuous integration (3)

GitHub ActionsR CMD check workflowTravis CI (config file)

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

Docs source (1)

README.Rmd

Reproducibility and dev environment (1)

data-raw/

CRAN release process (1)

cran-comments.md

Show all practicesHide 2 practices

Research and citation (1)

CITATION.cff

Lint, format, editor (1)

RStudio project

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

Dependencies

Declared dependencies

5 external dependencies (excludes base and recommended)

Installing KHQ adds 6 packages (6 with compiled code, 15 MB of source tarballs). Heaviest: stringi 11 MB, Rcpp 1.8 MB, openxlsx 1.3 MB.

Depends (1)

R >= 3.5.0

Imports (3)

magrittr openxlsxstats

LinkingTo (0)

none

Suggests (3)

knitr rmarkdown testthat

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 (1)

Luiz Augusto Brusaca

Author, Maintainer since 0.1.0 (2021)

Releases (2)

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
0.2.0Latest
record
2021-08-06 · current release · diff ↗ ·
added 1 export
KHQ5DFreq
0.1.0
record
2021-07-20
R
R 4.1.0 released · 2021-05-18

Package metadata

First published: 2021-07-20
Total releases: 2 / 5 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 3.5.0
Bundled data: 1.6 KB / 4 files
Download size: 52 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("KHQ")

Format

Brusaca, L. A. (2021). KHQ: Methods for Calculating 'KHQ' Scores and 'KHQ5D' Utility Index Scores (Version 0.2.0) [Computer software]. https://doi.org/10.32614/CRAN.package.KHQ

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

The repository also keeps a CITATION.cff.

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 KHQ 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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