beta_weights_on_grid: Beta-Prior Weights Over an Effect Grid
In powerbrmsINLA: Bayesian Power Analysis Using 'brms' and 'INLA'
View source: R/beta-binom-analytic.R
beta_weights_on_grid R Documentation
Beta-Prior Weights Over an Effect Grid
Description
Computes prior weights over a grid of true effect values by evaluating
a Beta(mode, n) prior. If the grid is not in (0,1), it is rescaled linearly.
Usage
beta_weights_on_grid(effects, mode, n)
Arguments
effects
Numeric vector of effect values (grid).
mode
Prior mode in (0,1).
n
Prior concentration (> 2).
Value
Normalised numeric weights over the grid (sum to 1).
powerbrmsINLA documentation built on July 2, 2026, 5:07 p.m.
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View source: R/beta-binom-analytic.R
| beta_weights_on_grid | R Documentation |
Beta-Prior Weights Over an Effect Grid
Description
Computes prior weights over a grid of true effect values by evaluating a Beta(mode, n) prior. If the grid is not in (0,1), it is rescaled linearly.
Usage
beta_weights_on_grid(effects, mode, n)
Arguments
effects |
Numeric vector of effect values (grid). |
mode |
Prior mode in (0,1). |
n |
Prior concentration (> 2). |
Value
Normalised numeric weights over the grid (sum to 1).
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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