Create a summary of inference conditional on mode of inheritance.
Object of class
Numeric value of statistical confidence with which returning interval should contain the true value.
Integer value of number of simulations to use in estimation of the confidence interval.
BeviMed_m_summary object, which is a list containing elements:
‘gamma1_evidence’: the log evidence under model gamma = 1,
‘gamma1_evidence_confidence_interval’: a confidence interval for the log evidence under model gamma = 1,
‘conditional_prob_pathogenic’: vector of marginal probabilities of pathogenicity for individual variants,
‘expected_explained’: the expected number of cases with a pathogenic configuration of alleles,
‘explaining_variants’: the expected number of variants present for which cases harbour a rare allele,
‘number_of_posterior_samples’: the number of samples from the posterior distribution of the model parameters which upon which the summary is based,
‘omega_estimated’: logical value indicating whether the parameter omega was estimated,
‘omega’: the posterior mean of omega,
‘omega_acceptance_rate’: if omega was estimated, the rate of acceptance of proposed omega values in the Metropolis-Hastings sampling routine,
‘phi_estimated’: logical value indicating whether the parameter phi was estimated,
‘phi’: the posterior mean of phi,
‘phi_acceptance_rate’: if phi was estimated, the rate of acceptance of proposed phi values in the Metropolis-Hastings sampling routine,
'N': number of samples in the analysis,
'k': number of variants in the analysis,
‘variant_counts’: list of counts of each variant for cases and controls,
‘temperatures’: numeric vector of temperatures used as temperatures for tempered MCMC chains
Object of class
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