R Observatory: Metrics for projectLSA version 0.1.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

projectLSA needs flextable, which CRAN will archive unless its check problems are fixed by Oct 22.

projectLSA

0.1.1Package record

Shiny Application for Latent Structure Analysis with a Graphical User Interface

0packages depend

3.9Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Hasan DjiduCRAN page ↗GitHub ↗Issues ↗

Provides an interactive Shiny-based toolkit for conducting latent structure analyses, including Latent Profile Analysis (LPA), Latent Class Analysis (LCA), Latent Trait Analysis (LTA/IRT), Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), and Structural Equation Modeling (SEM). The implementation is grounded in established methodological frameworks: LPA is supported through 'tidyLPA' (Rosenberg et al., 2018) doi:10.21105/joss.00978, LCA through 'poLCA' (Linzer & Lewis, 2011) doi:10.32614/CRAN.package.poLCA & 'glca' (Kim & Kim, 2024) doi:10.32614/CRAN.package.glca, LTA/IRT via 'mirt' (Chalmers, 2012) doi:10.18637/jss.v048.i06, and EFA via 'psych' (Revelle, 2025). SEM and CFA functionalities build upon the 'lavaan' framework (Rosseel, 2012) doi:10.18637/jss.v048.i02. The CFA/SEM module additionally supports multi-group invariance testing, latent growth modelling, modification indices, and path diagram visualisation. Every module can save and restore an analysis session, export an 'R Markdown' HTML report, and consult an optional AI assistant that interprets the current results through a user-supplied large language model API key. Users can upload datasets or use built-in examples, fit models, compare fit indices, visualize results, and export outputs without programming.

Changes in 0.1.1

CFA/SEM Module (major update)

Added an **Advanced Analysis** tab supporting **Multi-group CFA (MGCFA)** with configural, metric (weak), scalar (strong), and strict invariance levels, plus a one-click **Auto Invariance Test** that fits and compares all levels.
Added **Latent Growth Modelling (LGM)** via lavaan::growth().
Added built-in example datasets for the new modes: PoliticalDemocracy (SEM) and Demo.growth (LGM).
Added a **Data Summary** panel with descriptive tables, data-type composition, and a missingness/correlation heatmap.
Added **Calculate Variable**: build composite (mean/sum) scores from a simple NewVar = var1, var2, ... syntax, both for the analysis data and for new data.
Added **Score New Data**: download an Excel template, upload new cases, and compute factor scores from the fitted model.

Show all changes in 0.1.1Hide the rest of the changes in 0.1.1

Added a **Methodological Guide** with the reporting conventions used by the module.
Added editable model-comparison table, Heywood-case status flags, and an option to use robust/scaled fit indices.
Reworked the parameter output into a single tab covering factor loadings, regression paths, variances, and covariances.
Path diagram gains a **Display Scope** option (full model vs. structural model only).

Save & Restore Analysis Sessions

Every module (CFA, EFA, LTA, LPA, LCA) can now **save the whole analysis session** to an .rds workspace file and restore it later by uploading that file as the data source. The workspace stores the data, the fitted model objects, and the relevant input settings.

HTML Reports for Every Module

CFA/SEM, EFA, LTA/IRT, LPA, and LCA each gain a **Report Preview** tab: render the report in-app first, then download the finished HTML.
Reports embed the R console output and, when requested, the AI interpretive summary.

AI Assistant (new)

Added a floating **AI Assistant** widget available in every module, with three tabs: *Ask AI* (conversational Q&A about the current results), *Create Summary* (manuscript, APA 7, paragraph, bullet, or table format, in English or Indonesian), and *Settings*.
Supports Google Gemini, OpenAI, Groq, and OpenRouter. The API key is supplied by the user at runtime, is never stored by the package, and no request is made unless the user provides one.
The assistant is grounded with reporting rules of thumb for mixture models (Nylund et al., 2007; Masyn, 2013), IRT, and CFA/SEM (Hu & Bentler, 1999; Hair et al., 2017; DiStefano & Morgan, 2014).
Optional research context can be typed in or uploaded (txt/pdf/docx) to tailor the interpretation, and the generated summary can be pushed into the HTML report.
The widget can be docked as a tab inside the active module or floated, and the chat transcript can be exported as HTML.

LTA/IRT Module

Added an **Information & Reliability** tab (test information, marginal reliability, conditional standard error of measurement).
Added a **DIF Analysis** tab with group and anchor-item selection.
Added **Score New Data** with an Excel template download.

EFA Module

Added data summary visualisations, composite-variable calculation, and scoring of new data.

Other

Added a floating **R Console** widget showing the raw R output behind the results.
Report previews are now written to a per-session directory and served under a per-session resource prefix, removed when the session ends. Previously every module wrote to a fixed path inside tempdir() and published the whole of tempdir() over HTTP; because tempdir() is shared by all sessions served by one R process, concurrent users of a hosted deployment could overwrite and read each other's reports.
New runtime dependencies: httr, jsonlite, shinycssloaders, writexl. semTools and pdftools are optional (Suggests).

From NEWS.md in the release

Install

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

install.packages("projectLSA", 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("hdmeasure/projectLSA")

Development version from hdmeasure/projectLSA. 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-projectlsa

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-projectLSA

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-projectLSA

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: 3.9 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-23
NOTE11 OK, 2 NOTE2026-06-09
ERROR10 OK, 2 NOTE, 1 ERROR2026-06-08
NOTE10 OK, 2 NOTE2026-04-25
ERROR11 OK, 2 NOTE, 1 ERROR2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.1

READMEYes · 725 wordsVignettesYes · 1 · staticNEWSYes · 100% structured · mentions 0.1.1Citation fileYes · cites a publicationWebsitenot declared in DESCRIPTION

Description cites a JOSS paper

Help pages: 2 (1 internal)includes a package overview page
Examples that run: 100%1 run in a plain check (under a condition)
Exported functions with examples: 100%
Documented parameters: not tracked
Return-value docs: 100%
Help pages citing references: 0%

Vignettes (1)

Introduction to projectLSA

How these are measured

Downloads

3.9K

CRAN downloads in the past year

Rank #7,158 · ~11/day · ~322/mo

Releases R versions

Daily download trend is not available in this view yet.

54630 days

1.2K90 days

3.9K1 year

Compare downloads with other packages →

Also on101 r2u3 autocran

How downloads are counted

Repository

hdmeasure/projectlsa ↗Account: hdmeasure

1Stars

1Forks

0Open issues

0Open PRs

0Releases

110Commits

1Commit identities

110 commits · Last activity 2026-08-22 · 0% stars, 30d

Responsiveness

not measured

Stars over time

2026-01-06 · 12026-07-07 · 1

How these are measured

PracticesBeta

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

Checks run against github.com/hdmeasure/projectlsa on 2026-10-11.

Continuous integration (2)

GitHub ActionsR CMD check workflow

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

Docs source (2)

README.Rmdpkgdown

CRAN release process (2)

cran-comments.mdCRAN-SUBMISSION

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies

43 external dependencies (excludes base and recommended)

Installing projectLSA adds 216 packages (110 with compiled code, 179 MB of source tarballs). Heaviest: stringi 11 MB, tidySEM 9.5 MB, MplusAutomation 7.5 MB.

Depends (1)

R >= 4.0.0

LinkingTo (0)

none

Suggests (4)

pdftools pkgdown semTools testthat

Enhances (0)

none

Dependencies facing archival

CRAN will archive these unless their check problems are fixed by the date shown. This package needs each one to install.

flextablefix by Oct 22

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (4)

Hasan Djidu

Author, Maintainer since 0.0.3 (2025)

Haryanto

Contributor

Samsul Hadi

Contributor

Heri Retnawati

Contributor

Releases (7)

Pick two releases to compare their code metrics.

0.1.1Latest
record
2026-08-22 · current release · diff ↗
0.0.9
record
2026-05-09 · diff ↗
R
R 4.6.0 released · 2026-04-24
0.0.8
record
2026-02-08 · diff ↗
0.0.7
record
2026-01-30 · diff ↗
0.0.6
record
2026-01-16 · diff ↗
0.0.5
record
2026-01-08 · diff ↗
0.0.3
record
2025-12-10
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2025-12-10
Total releases: 7 / 1 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 4.0.0
Download size: 248 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("projectLSA")

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

It points to 10.1177/01466216261446305, 10.32614/cran.package.projectlsa.

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 projectLSA version 0.1.1 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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