dot-get_threshold_varying_prior_parameters: Get threshold-varying priors for Bayesian DCA
In giulianonetto/bayesdca: Bayesian Decision Curve Analysis
.get_threshold_varying_prior_parameters R Documentation
Get threshold-varying priors for Bayesian DCA
Description
Get threshold-varying priors for Bayesian DCA
Usage
.get_threshold_varying_prior_parameters(
thresholds,
n_strategies,
ignorance_region_cutpoints = c(0.25, 0.75) * max(thresholds),
min_sens_prior_mean = 0.01,
max_sens_prior_mean = 0.99,
max_sens_prior_sample_size = 5,
ignorance_region_mean = 0.5,
ignorance_region_sample_size = 2,
prev_prior_mean = 0.5,
prev_prior_sample_size = 2
)
giulianonetto/bayesdca documentation built on Aug. 31, 2023, 11:07 a.m.
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| .get_threshold_varying_prior_parameters | R Documentation |
Get threshold-varying priors for Bayesian DCA
Description
Get threshold-varying priors for Bayesian DCA
Usage
.get_threshold_varying_prior_parameters(
thresholds,
n_strategies,
ignorance_region_cutpoints = c(0.25, 0.75) * max(thresholds),
min_sens_prior_mean = 0.01,
max_sens_prior_mean = 0.99,
max_sens_prior_sample_size = 5,
ignorance_region_mean = 0.5,
ignorance_region_sample_size = 2,
prev_prior_mean = 0.5,
prev_prior_sample_size = 2
)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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