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LISTC 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().
• 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.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.