compute_posterior_scalars: Posterior summary of scalar hyperparameters
In bayesqm: Bayesian Q Methodology: Probabilistic Factor Analysis
View source: R/hyperparameters.R
compute_posterior_scalars R Documentation
Posterior summary of scalar hyperparameters
Description
Returns a tidy data frame with one row per scalar parameter and
columns mean, median, sd, lower, upper.
Usage
compute_posterior_scalars(scalar_draws, prob = 0.95)
Arguments
scalar_draws
Named list of draw vectors. For a
bayesqm_fit, pass fit$hyperparams directly.
prob
Coverage probability for the credible interval.
Value
A data frame.
bayesqm documentation built on June 18, 2026, 1:07 a.m.
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View source: R/hyperparameters.R
| compute_posterior_scalars | R Documentation |
Posterior summary of scalar hyperparameters
Description
Returns a tidy data frame with one row per scalar parameter and
columns mean, median, sd, lower, upper.
Usage
compute_posterior_scalars(scalar_draws, prob = 0.95)
Arguments
scalar_draws |
Named list of draw vectors. For a
|
prob |
Coverage probability for the credible interval. |
Value
A data frame.
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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