dot-extract_dca_surv_summary: Extract posterior summaries for 'BayesDCASurv' object
In giulianonetto/bayesdca: Bayesian Decision Curve Analysis
.extract_dca_surv_summary R Documentation
Extract posterior summaries for BayesDCASurv object
Description
Extract posterior summaries for BayesDCASurv object
Usage
.extract_dca_surv_summary(fit, summary_probs, thresholds, strategies)
Arguments
summary_probs
Probabilities for posterior credible intervals (defaults to a 95% Cr.I.).
thresholds
Decision thresholds – within interval (0, 1).
strategies
Vector of names of models or binary tests under assessment.
Value
An object of class BayesDCASurv
giulianonetto/bayesdca documentation built on Aug. 31, 2023, 11:07 a.m.
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| .extract_dca_surv_summary | R Documentation |
Extract posterior summaries for BayesDCASurv object
Description
Extract posterior summaries for BayesDCASurv object
Usage
.extract_dca_surv_summary(fit, summary_probs, thresholds, strategies)
Arguments
summary_probs |
Probabilities for posterior credible intervals (defaults to a 95% Cr.I.). |
thresholds |
Decision thresholds – within interval (0, 1). |
strategies |
Vector of names of models or binary tests under assessment. |
Value
An object of class BayesDCASurv
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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