sn_quantile: Skew-normal quantile
In tulpa: Templated Unified Library for Posterior Approximation in Bayesian Hierarchical Models
sn_quantile R Documentation
Skew-normal quantile
Description
Inverse of the skew-normal CDF via Newton iteration on
sn_cdf() with a Brent-style bracket fallback when Newton fails to
converge.
Usage
sn_quantile(p, sn, tol = 1e-10, max_iter = 60L)
Arguments
p
Numeric vector of probabilities in [0, 1].
sn
Skew-normal parameter list from sn_match().
tol
Absolute tolerance on the CDF residual (default 1e-10).
max_iter
Maximum Newton iterations (default 60).
Value
Numeric vector of quantiles, same length as p.
tulpa documentation built on Oct. 19, 2026, 5:09 p.m.
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.
| sn_quantile | R Documentation |
Skew-normal quantile
Description
Inverse of the skew-normal CDF via Newton iteration on
sn_cdf() with a Brent-style bracket fallback when Newton fails to
converge.
Usage
sn_quantile(p, sn, tol = 1e-10, max_iter = 60L)
Arguments
p |
Numeric vector of probabilities in |
sn |
Skew-normal parameter list from |
tol |
Absolute tolerance on the CDF residual (default |
max_iter |
Maximum Newton iterations (default |
Value
Numeric vector of quantiles, same length as p.
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.