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.