bevimed | Bayesian Evaluation of Variant Involvement in Mendelian... |
bevimed_m | Perform inference under model gamma = 1 conditional on mode... |
BeviMed-package | Bayesian Evaluation of Variant Involvement in Mendelian... |
bevimed_polytomous | Model selection for multiple association models |
call_cpp | R interface to BeviMed c++ MCMC procedure |
CI_gamma1_evidence | Estimate confidence interval for estimated marginal... |
conditional_prob_pathogenic | Calculate probability of pathogencity for variants... |
expected_explained | Calculate expected number of explained cases |
explaining_variants | Calculate expected number of pathogenic variants in cases |
extract_conditional_prob_pathogenic | Extract probability of pathogenicity for variant conditional... |
extract_expected_explained | Extract expected number of explained cases |
extract_explaining_variants | Extract expected number of pathogenic variants in cases |
extract_gamma1_evidence | Extract evidence for model gamma = 1 |
extract_prob_association | Extract the posterior probability of association |
extract_prob_pathogenic | Extract variant marginal probabilities of pathogenicity |
gamma0_evidence | Calculate marginal probability of observed case-control... |
gamma1_evidence | Calculate evidence under model gamma = 1 |
log_BF | Calculate log Bayes factor between an association model with... |
print.BeviMed | Print readable summary of 'BeviMed' object |
print.BeviMed_m | Print 'BeviMed_m' object |
print.BeviMed_summary | Print readable summary of 'BeviMed_summary' object. |
prob_association | Calculate probability of association |
prob_association_m | Calculate probability of association for one mode of... |
prob_pathogenic | Calculate variant marginal probabilities of pathogencity |
stack_BeviMeds | Concatenate objects of class 'BeviMed_raw' |
stop_chain | Apply the MCMC algorithm in blocks until conditions are met |
subset_variants | Remove variants with no data for pathogenicity |
summary.BeviMed | Summarise a 'BeviMed' object |
summary.BeviMed_m | Summarise a 'BeviMed_m' object |
sum_ML_over_PP | Calculate marginal likelihood from power posteriors output |
tune_proposal_sds | Tune proposal standard deviation for MH sampled parameters |
tune_temperatures | Tune temperatures |
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