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OLSengine 1.1.0

New features

• Added panel data estimation (model = "panel" in paper_engine()): fixed effects and random effects estimators with automatic Hausman-test-based selection (method = "auto", "fe", or "re"), plus balanced/unbalanced panel diagnostics.
• Added instrumental variables estimation (model = "iv"): two-stage least squares (2SLS) in pure base R, with first-stage weak-instrument diagnostics.
• Added difference-in-differences estimation (model = "did"): treatment x post-period interaction model with parallel-trends diagnostics.
• plot_engine() gains matching plot types for the three new models: a forest plot for panel estimates, a forest plot for 2SLS coefficients, and a parallel-trends plot for DiD.
• Added the academic_salaries example dataset, used in the new panel/IV/DiD vignette sections.

Documentation

• Expanded vignette_tutorial.Rmd with worked examples for panel data, IV, and DiD models.
• Updated paper_engine() and plot_engine() documentation for the new parameters (entity_id, time_id, method, instruments, treatment_var, time_var, treatment_level, post_level).
• Updated README to reflect the six available estimation engines.

OLSengine 1.0.0

• Initial CRAN release: OLS regression, ANOVA/t-tests, and logistic regression, with the integrated “Methodological Customs” diagnostics layer and APA-formatted output tables and plots.

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.