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BiasedMatch 0.1.0

• Initial release implementing the two-urn biased sampling model of Puza and Bonfrer (2018).
• DISTM() returns the full distribution, mean and variance of the number of matches.
• PROBM() returns the probability of a given number of matches under biased without-replacement sampling.
• Vmf() gives the closed-form variance of the number of matches under unbiased sampling (w = 1).
• inferW() returns the maximum likelihood estimate, posterior mode and a p-value for the bias parameter w given an observed number of matches, reproducing Problems 1-3 of the paper.
• likW() returns standardised likelihood and posterior curves for the bias parameter.
• MHALG(), RMMHALG() and SMRMMHALG() provide Metropolis-Hastings samplers for hierarchical inference on the bias parameter.
• restable() summarises posterior draws and estprop() reports convergence and serial-correlation diagnostics.
• The Metropolis-Hastings samplers (MHALG(), RMMHALG(), SMRMMHALG()) now show their progress bars only in interactive sessions.

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.