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.