R Observatory: Metrics for pams version 0.2.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

pams

0.2.0Package record

Profile Analysis via Multidimensional Scaling

0packages depend

1.3Kdownloads / year

85.1%test coverage

13/13flavors OK

Overview

About

Maintained by Se-Kang KimCRAN page ↗GitHub ↗Issues ↗

Implements Profile Analysis via Multidimensional Scaling (PAMS) for the identification of population-level core response profiles from cross-sectional and longitudinal person-score data. Each person profile is decomposed into a level component (the person mean) and a pattern component (ipsatized subscores). PAMS uses nonmetric multidimensional scaling via the SMACOF algorithm to identify a small number of core profiles that represent the central response patterns in a sample of any size. Bootstrap standard errors and bias-corrected and accelerated (BCa) confidence intervals for individual core profile coordinates are estimated, enabling significance testing of coordinates that is not available in other profile analysis methods such as cluster profile analysis or latent profile analysis. Person-level weights, R-squared values, and partial correlations with core profiles are also estimated, allowing individual profiles to be interpreted in terms of the core profile structure. PAMS can be applied to both cross-sectional data and longitudinal data, where core trajectory profiles describe how response patterns change over time. Methods are described in Kim and Kim (2024) doi:10.20982/tqmp.20.3.p230, de Leeuw and Mair (2009) doi:10.18637/jss.v031.i03, and Kruskal (1964) doi:10.1007/BF02289565.

Changes in 0.2.0

User interface

BootSmacof() now returns an object of class pams_fit while retaining all previously available named-list components.
Added plot.pams_fit(), summary.pams_fit(), print.pams_fit(), and print.summary.pams_fit() methods.
Corrected the documented and implemented default transformation to type = "ordinal".

Reliability and documentation

Added systematic validation for data, profile count, directions, confidence level, bootstrap count, participant indices, labels, and choice arguments.
Added an explicit warning when fewer than 1,000 bootstrap samples are used.
Made BCa calculations robust to boundary bias estimates and zero jackknife acceleration denominators.

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

Applied sign alignment to both bootstrap and jackknife configurations.
Clarified that person weights are unstandardized no-intercept OLS coefficients and that corDim values are partial correlations.
Added explicit documentation of sign indeterminacy and the absence of general rotational or dimension-permutation alignment.
Added a worked vignette, automated tests, and a multi-platform GitHub Actions R CMD check workflow.

Metadata

Updated the maintainer address to sekangandroid@gmail.com.
Added optional vignette and tidy-tabular dependencies under Suggests.

From NEWS.md in the release

Install

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

install.packages("pams", 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("sekangakim/pams")

Development version from sekangakim/pams. 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-pams

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-pams

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-pams

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: 1.8 min · r-release-macos-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09
ERROR12 OK, 1 ERROR2026-06-08
OK13 OK2026-05-02

Show 2 earlier changesHide 2 earlier changes

ERROR11 OK, 1 ERROR2026-04-25
OK7 OK2026-04-01

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.2.0

READMEYes · 1,002 wordsVignettesYes · 1 · dynamicNEWSYes · 67% structured · mentions 0.2.0Citation fileYes · cites a publicationWebsitenot declared in DESCRIPTION

Description cites a JSS article

Help pages: 3
Examples that run: 33%1 run in a plain check · 2 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: 33%

Also includes 1 demo script (run with demo())

Vignettes (1)

Profile Analysis via Multidimensional Scaling with pams HTML

How these are measured

Downloads

1.3K

CRAN downloads in the past year

Rank #20,924 · ~4/day · ~107/mo

Releases R versions

Daily download trend is not available in this view yet.

31330 days

64090 days

1.3K1 year

Compare downloads with other packages →

Also on42 r2u5 autocran

How downloads are counted

Repository

sekangakim/pams ↗Account: sekangakim

0Stars

0Forks

0Open issues

0Open PRs

1Releases

4Commits

2Commit identities

4 commits · Last activity 2026-10-06

Responsiveness

not measured

Releases over time

2026-07-07 · 02026-10-07 · 1

How these are measured

PracticesBeta

3 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/sekangakim/pams on 2026-10-22.

Continuous integration (2)

GitHub ActionsR CMD check workflow

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

CRAN release process (1)

cran-comments.md

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

Dependencies

Declared dependencies

6 external dependencies (excludes base and recommended)

Installing pams adds 104 packages (57 with compiled code, 80 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (1)

R >= 4.0.0

Imports (1)

smacof

LinkingTo (0)

none

Suggests (5)

knitr lmtest rmarkdown testthat tibble

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (2)

Se-Kang Kim

Author, Maintainer since 0.1.0 (2026)

Donghoh Kim

Author

Releases (2)

Pick two releases to compare their code metrics.

0.2.0Latest
record
2026-10-06 · current release · diff ↗ ·
5 hours in CRAN's queue
Listed in CRAN's incoming queue from 2026-10-06 15:36 to 2026-10-06 20:42 UTC, in 2 readings.
R
R 4.6.0 released · 2026-04-24
0.1.0
record
2026-03-31
R
R 4.5.0 released · 2025-04-11

Across CRAN, the median accepted release of the past year spent 26 hours in the queue, 90% under 11 days.How queue time is measured

Package metadata

First published: 2026-03-31
Total releases: 2 / 1 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 4.0.0
Download size: 72 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("pams")

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

It points to 10.20982/tqmp.20.3.p230.

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 pams version 0.2.0 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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