Changes in version 0.1.0 (2026-10-21)                  

  - 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.