Biased Matching for Two-Urn Sampling Problems


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Documentation for package ‘BiasedMatch’ version 0.1.0

Help Pages

DISTM Distribution, mean and variance of the number of matches
estprop Convergence and serial-correlation diagnostics for MH draws
inferW Inference on the bias parameter from an observed number of matches
likW Likelihood and posterior curves for the bias parameter
MHALG Metropolis-Hastings sampler for a single weight class
PROBM Probability mass for the number of matching items
restable Summarise posterior draws from an MH sampler
RMMHALG Metropolis-Hastings sampler with linear predictors
SMRMMHALG Metropolis-Hastings sampler with shared weights within classes
Vmf Closed-form variance of the number of matches under unbiased sampling