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BayesAiken 2.0.0

First version submitted to CRAN.

New features

• All six coefficients of Aiken (V, H, C, R, A, I) are now functionals of a single Dirichlet-Multinomial model (aiken_bayes(), aiken_bayes_table()), which treats each judge as one categorical observation and avoids the pseudo-replication of the Beta-Binomial formulation. R is modelled on the c-by-c joint table.
• aiken_test(): the significance tests of Aiken (1985) for V, R and H, with the exact right-tail probability (V and R, by convolution of the null distribution; H, by simulation) and the large-sample z test.
• Classical coefficients with the correct parity correction (aiken_V_classic(), aiken_H_classic(), …) and the Penfield-Giacobbi score confidence interval for V (aiken_V_ic_pg()).
• APA-style reporting (aiken_apa(), print_apa()) and a local Shiny application (run_aiken_app()).

Bug fixes (with respect to 1.0.0)

• The parity correction of H and C was fixed at 1, wrong with an even number of judges.
• The denominator of A omitted the number of criteria, and I used m = 2 regardless of the design.
• coef_C() had no likelihood: it built pseudo-counts from its own point estimate.
• The five coefficients other than V used a Beta-Binomial model; for H this gave intervals about 3.4 times narrower than they should be.

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.