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LISTC

1.0.0Package record

Pivot-Style Statistical Tables for Large-Scale Assessment Data

0packages depend
679downloads / year
96.3%test coverage
13/13flavors OK

Overview

About
Maintained by Kunxiang MaCRAN page ↗GitHub ↗Issues ↗Declared funder: WEIAN DATA TECH (Beijing) Co., Ltd.

Turns assessment and survey sample data (demographics, scores, sampling weights, ability estimates with individual item response theory standard errors, replicate weights and plausible values) into fully customizable pivot-style statistical tables in which every cell carries a design-appropriate standard error. Provides weighted means, proportions above cut scores, proficiency-level percentages and quantiles; sampling variance via linearization, Woodruff (1952) doi:10.1080/01621459.1952.10483443 intervals for quantiles, or balanced repeated replication and jackknife replicate weights including Fay's method; measurement variance via delta-method propagation of individual standard errors or Rubin (1987) doi:10.1002/9780470316696 combination across plausible values. Imports data from 'CSV', 'Excel', 'SPSS', 'SAS', 'Stata' and item response theory software person files ('Winsteps', 'ConQuest'); a configuration-file interface serves non-programmers and automation; results export to formatted 'Excel', 'JSON' and standalone 'HTML' reports with rule-based plain-language interpretation.

Changes in 1.0.0

First public release.

Core

  • lst_data() declares variable roles (id, groups, sampling weight, scores, ability estimates paired with individual IRT standard errors, item responses with scoring keys, replicate weights, plausible values).
  • lst_table() builds Excel-pivot-style tables: free combination of row variables, column variables and cell statistics, with optional "Total" margins; results available as tidy long data (as_long()) or a formatted wide layout (as_wide()).
  • Statistics: st_mean(), st_sd(), st_prop_above(), st_level_prop(), st_quantile(), st_count()/st_wcount(), item p-values st_pvalue() and option distributions st_option_dist().
Show all changes in 1.0.0Hide the rest of the changes in 1.0.0
  • Every statistic reports a sampling standard error in every cell, including st_option_dist(): each option share is computed as the weighted mean of its 0/1 indicator, so it reuses the same linearized and replicate-weight variance paths as the other statistics.

Variance engines

  • Linearized sampling variance by default; Woodruff intervals for quantiles.
  • Measurement variance propagated from individual IRT standard errors; probabilistic classification (method = "prob") robust to misclassification near cut scores; empirical-Bayes correction = "latent" for WLE/ML estimates.
  • Replicate weights (rep_weights, methods fay/brr/jk1/jk2) for PISA/TIMSS-style designs, with prefix expansion such as "W_FSTR".
  • Plausible values (pv = list(math = "PV#MATH")) with Rubin combination, composing with replicate weights.

Interfaces and output

  • One-shot lst_run() driven by YAML/JSON text or an Excel configuration workbook (lst_config_template()); JSON Schema and an llms.txt API digest ship in inst/ for automated agents.
  • Importers for csv/tsv, Excel, SPSS/SAS/Stata (value labels preserved) and Winsteps/ConQuest person files.
  • Export to styled Excel workbooks, machine-readable JSON and standalone HTML reports, each with rule-based plain-language interpretation.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 3.4 min · r-oldrel-macos-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE11 OK, 1 NOTE2026-08-01
  • OK7 OK2026-07-29
Advisories

none known

Documentation

In release 1.0.0
READMEYes · 548 wordsVignettesYes · 1 · dynamicNEWSYes · 67% structured · mentions 1.0.0Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
34 (7 internal)includes a package overview page
Examples that run
100%27 run in a plain check
Exported functions with examples
100%
Documented parameters
95%
Return-value docs
100%
Help pages citing references
0%

Downloads

679
CRAN downloads in the past year
Rank #19,391 · ~2/day · ~57/mo
Daily download trend is not available in this view yet.
24430 days
67990 days
6791 year
Compare downloads with other packages →
Also on13 r2u2 autocran

Repository

0Stars
0Forks
0Open issues
0Open PRs
0Releases
License file reads as GPL-2.0 · Last activity 2026-07-31
Responsiveness
How these are sampled
PRs merged (all time)
50%
Median days to close, 50 most recently updated closed issues
not measured
Median days to close, 50 most recently updated closed PRs
not measured

Issues over time

2026-07-29 · 122026-08-01 · 0
PracticesBeta

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

Checks run against github.com/weiandata/listc on 2026-10-18.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux

Governance and community (5)
Contributing guideIssue templatesPR templateSecurity policyCODEOWNERS
CRAN release process (1)
cran-comments.md
Lint, format, editor (1)
EditorConfig
How this is detected·Detection ruleset v3 (2026-09-26)
AI coding toolsBeta

This repository shows signs of AI coding tools.

  • Claude Codefirst seen 2026-07-18
    Commits: at least 10 crediting it in the message
Shared conventions any agent may read, so they name no particular tool.
Seen in the repository: AGENTS.md
Models named in its commits
  • Claude Opus 4.89 commits · Jul 2026
  • Claude Opus 51 commit · Jul 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
13 external dependencies (excludes base and recommended)

Installing LISTC adds 36 packages (22 with compiled code, 31 MB of source tarballs). Heaviest: stringi 11 MB, data.table 5.7 MB, readxl 2.1 MB.

Depends (1)
R >= 4.1
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (2)
Author, Maintainer since 1.0.0 (2026)
Copyright holder, Funder
Releases (1)
  • 1.0.0Latest
    2026-07-28 · current release
  • R
    R 4.6.0 released · 2026-04-24

Package metadata

First published
2026-07-28
Total releases
1 / 1 yrs
License
GPL (>= 2) OSI
Copyright
See file inst/COPYRIGHTS.
Minimum R
≥ 4.1
Download size
83 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("LISTC")
Ma, K., & WEIAN DATA TECH (Beijing) Co., Ltd. (2026). LISTC: Pivot-Style Statistical Tables for Large-Scale Assessment Data (Version 1.0.0) [Computer software]. https://doi.org/10.32614/CRAN.package.LISTC

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

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for LISTC version 1.0.0 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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