NEWS

---

qcaERT 0.1.1

• Added the World Happiness Report demonstration objects whr_raw, whr_calibrated, and whr_calib_spec.
• Fixed calibration trace plots so plot(..., type = "trace") no longer duplicates an evaluated failing threshold.

qcaERT 0.1.0 (2026-05-27)

This is the first public version of qcaERT.

Package scope

• Added a family of robustness tools for QCA workflows:
  • calib.test() for calibration-threshold robustness.
  • incl.test() for inclusion-cutoff robustness.
  • ncut.test() for frequency-cutoff robustness.
  • loo.test() for leave-one-out case influence.
  • subsample.test() for repeated subsample stability.
  • altset.test() for sampled alternative analysis settings.
  • theory.test() for comparing theoretically motivated condition-set specifications.
  • cluster.test() for cluster, group, and repeated-unit heterogeneity.
  • sol.df() for compact QCA solution tables.
  • sol.chart() for visual presentation of sol.df() tables.

Shared API and output conventions

• Standardized the function family around common solution controls: solution, include, dir.exp, which_M, and i_mode.
• Standardized exclusion handling across applicable functions with exclude_mode, exclude_recompute, and exclude_static.
• Standardized most result objects around:
  • diagnostics for detailed/internal results.
  • results for the clean table.
  • settings for the analysis settings.
  • supporting fields such as baseline, bounds, by_direction, by_case, by_run, by_draw, and summary where relevant.
• Standardized print() methods to show concise summaries.
• Standardized as.data.frame() methods to return the clean table.
• Documented the structured-result exceptions explicitly:
  • cluster.test() returns results$overview, results$clusters, and results$units; as.data.frame() returns results$overview.
  • theory.test() returns results$models, results$solutions, and results$pairwise; as.data.frame() returns results$models.