dot-prior_range: Determine an appropriate (lo, hi) support range for a prior...
In bayprior: Bayesian Prior Elicitation and Diagnostics for Clinical Trials
.prior_range R Documentation
Determine an appropriate (lo, hi) support range for a prior (internal)
Description
Shared per-family range logic, used by both .density_grid() (for
plotting) and .bc_coef() (for numerical Bhattacharyya integration).
Uses exact 0.001/0.999 quantiles where available (lognormal, gamma,
exponential, weibull), [0, 1] for beta, and
fit_summary$q025/q975 %||% mean +/- 4*sd as a general fallback
(normal, and any family without a dedicated branch). Non-negative-support
families have lo clamped to 1e-6.
Usage
.prior_range(prior)
Arguments
prior
A bayprior object.
Value
A list with numeric elements lo and hi.
bayprior documentation built on Aug. 27, 2026, 1:09 a.m.
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| .prior_range | R Documentation |
Determine an appropriate (lo, hi) support range for a prior (internal)
Description
Shared per-family range logic, used by both .density_grid() (for
plotting) and .bc_coef() (for numerical Bhattacharyya integration).
Uses exact 0.001/0.999 quantiles where available (lognormal, gamma,
exponential, weibull), [0, 1] for beta, and
fit_summary$q025/q975 %||% mean +/- 4*sd as a general fallback
(normal, and any family without a dedicated branch). Non-negative-support
families have lo clamped to 1e-6.
Usage
.prior_range(prior)
Arguments
prior |
A |
Value
A list with numeric elements lo and hi.
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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