NEWS

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wdsmatch 0.2.2

• Add the WDSM preprint to package metadata and function documentation.
• Add the paper and software references to citation("wdsmatch"), and provide AMA and BibTeX citations in the README.
• Streamline repository documentation and remove dated submission records and generated validation outputs; retain the automated regression checks.
• No changes to estimation, inference, public arguments, or example data.

wdsmatch 0.2.1 (2026-09-20)

• Randomize boundary-distance donor selection independently for each recipient, replacing deterministic original-row priority. Matching remains with replacement and retains exactly M distinct donors per recipient.
• Add tie.seed and tie.tolerance, with a separate random stream that preserves the bootstrap stream and caller RNG state. Report tie and donor-reuse diagnostics.
• Preserve fixed original matches and weighted reuse during replication. No-tie estimates and replication draws are unchanged.
• Require R >= 3.6.0 for the specified reproducible rejection-sampling RNG.

wdsmatch 0.2.0 (2026-09-11)

This release corrects the numerical implementation. Point estimates, standard errors, and confidence intervals can differ from 0.1.1. Analyses made with 0.1.1 should be rerun before numerical results are reused.

• Match on standardized propensity probabilities and arm-specific prognostic scores. Replace the old logit and joint-score polynomial with a complete quadratic basis in each arm's own two-dimensional double score.
• Correct PATE's replication residual contributions using the original weighted matching reuse coefficients. Use the corresponding fixed-reuse PATT formula.
• Apply survey-weighted propensity fitting for retrospective sampling and unweighted propensity fitting for prospective sampling, including replication refits. Use finite-checked, zero-initialized logistic fits.
• Use centered normal Wald intervals based on replication variance with divisor B, replacing the previous percentile intervals and B-1 variance convention.
• Respect disabled bias correction in both the point estimate and replication. This option retains matching discrepancies and does not provide the same asymptotic bias-correction guarantee.
• Hold supplied propensity/prognostic scores fixed in replication; corresponding standard errors are conditional on those supplied scores. PATT only requires the control-side prognostic model.
• Reject invalid inputs and unsuccessful numerical fits explicitly. Do not insert zero replicates or silently discard failed replicates.
• Retain the existing public arguments and result components, and add variance, confidence-level and procedure metadata. Print the requested confidence level rather than always labeling an interval as 95%.
• Add regression checks for the corrected calculations, improve the method and inference documentation, and add checks on Linux, Windows, and macOS.

wdsmatch 0.1.1 (2026-04-21)

• Add missing return-value documentation for the print and summary methods for CRAN resubmission. No numerical estimator changes from 0.1.0.

wdsmatch 0.1.0

• Initial package version.
• wdsmatchATE(): Population average treatment effect estimation.
• wdsmatchATT(): Population average treatment effect on the treated.
• Supports retrospective and prospective sampling designs.
• Polynomial sieve bias correction with the original 10-term logit basis.
• Linearization-based multinomial bootstrap variance estimation.
• Bundled example dataset survey_obs.