ngme_sgld_ci: Quantile Confidence Intervals from SGLD Samples
In ngme2: Linear Latent Non-Gaussian Models with Flexible Distributions
ngme_sgld_ci R Documentation
Quantile Confidence Intervals from SGLD Samples
Description
Compute parameter-wise quantile confidence intervals from posterior-like
SGLD samples returned by [ngme_sgld_samples()].
Usage
ngme_sgld_ci(samples, lower = 0.025, upper = 0.975)
Arguments
samples
data.frame (or list of data.frames) returned by
[ngme_sgld_samples()].
lower
lower quantile probability (e.g. 0.025).
upper
upper quantile probability (e.g. 0.975).
Value
A list with posterior-like point estimates ('estimates'), quantile
intervals ('ci'), and sample covariance matrix ('covariance').
Class: 'ngme_sgld_ci'.
ngme2 documentation built on May 20, 2026, 9:10 a.m.
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| ngme_sgld_ci | R Documentation |
Quantile Confidence Intervals from SGLD Samples
Description
Compute parameter-wise quantile confidence intervals from posterior-like SGLD samples returned by [ngme_sgld_samples()].
Usage
ngme_sgld_ci(samples, lower = 0.025, upper = 0.975)
Arguments
samples |
data.frame (or list of data.frames) returned by [ngme_sgld_samples()]. |
lower |
lower quantile probability (e.g. 0.025). |
upper |
upper quantile probability (e.g. 0.975). |
Value
A list with posterior-like point estimates ('estimates'), quantile intervals ('ci'), and sample covariance matrix ('covariance'). Class: 'ngme_sgld_ci'.
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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