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postlink 0.1.1

New Features

• Updated the priors argument for the Bayesian Mixture functions (adjMixBayes(), glmMixBayes(), survregMixBayes()) so that intercept priors and slope coefficient priors are now decoupled.

Architecture & S3 Methods

• Refactored S3 class assignment system to remove false inheritance from base glm, lm, and coxph classes. Fitted objects now use dedicated package-level classes (e.g., plmodel, plglm, plcoxph).
• Added standard generic extractors (i.e., coef(), vcov(), confint(), df.residual()) for compatibility with tools like lmtest::coeftest().
• Added custom methods to indicate unsupported standard likelihood and residual-based generics (e.g., logLik(), profile(), anova(), extractAIC(), cooks.distance(), rstudent()).
• Consolidated shared printing behaviors for adjustment objects (adjELE, adjMixture, adjMixBayes) using a unified base print.adjustment() method via NextMethod(), reducing code duplication.
• Added an error message to clarify that the gaussian family in glmMixture is intended to be used only with the identity link for now.

Documentation & Testing

• Standardized all Roxygen manual page titles to Title Case. Implemented a GitHub Actions workflow (format-titles.yml) for documentation styling in continuous integration.
• Removed VignetteBuilder: knitr from the DESCRIPTION file to resolve a CRAN NOTE, as the extended package articles are hosted only via pkgdown for now.
• Updated the testthat suite to align with the newly refactored S3 class structures and console outputs.

postlink 0.1.0

• Initial CRAN release.
• Implements a suite of statistical tools (weighting or mixture modeling) for secondary analysis of linked data accounting for mismatch errors.
• Added support for adjusting generalized linear models, Cox proportional hazards models, parametric survival modeling, and contingency tables.

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.
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