crcseq                  This data is an example dataset to show how to
                        use the package
importance_sampler      Importance sampler to estimate marginal
                        likelihoods and Bayes factors
model_w                 Estimate the marginal likelihood that mutations
                        in buffy coat and cfDNA reflect CH or
                        correspond to germline mutations. If germline,
                        the allele frequency should be 50 percent. The
                        prior should be diffuse enough to handle CHIP
                        mutations which are potentially way less than
                        50 percent
plasma_somatic          Estimate the marginal likelihood that variants
                        identified in cell-free DNA are derived from
                        tumor cells (ctDNA-derived)
plasmut                 Bayesian models for estimating the origin of a
                        sequenced DNA fragment
wbc_somatic             Estimate the marginal likelihood of observing
                        somatic mutations from CTCs present in buffy
                        coat p(y_w | theta_w, n_w, model_S) x
                        p(theta_w| Model_S) theta_w | model_S ~ beta(1,
                        999) ## sequencing error or CTC
