sn_cdf: Skew-normal CDF
In tulpa: Templated Unified Library for Posterior Approximation in Bayesian Hierarchical Models
sn_cdf R Documentation
Skew-normal CDF
Description
Cumulative distribution function of the univariate skew-normal,
F(q; \xi, \omega, \alpha) = \Phi(z) - 2 T(z, \alpha),
where z = (q - \xi) / \omega and T is Owen's T function.
Owen's T is evaluated by base R numerical quadrature; no extra
dependencies are required.
Usage
sn_cdf(q, sn)
Arguments
q
Numeric vector of quantiles.
sn
Skew-normal parameter list from sn_match() with elements
xi, omega, alpha.
Value
Numeric vector of CDF values, same length as q.
tulpa documentation built on Oct. 19, 2026, 5:09 p.m.
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| sn_cdf | R Documentation |
Skew-normal CDF
Description
Cumulative distribution function of the univariate skew-normal,
F(q; \xi, \omega, \alpha) = \Phi(z) - 2 T(z, \alpha),
where z = (q - \xi) / \omega and T is Owen's T function.
Owen's T is evaluated by base R numerical quadrature; no extra
dependencies are required.
Usage
sn_cdf(q, sn)
Arguments
q |
Numeric vector of quantiles. |
sn |
Skew-normal parameter list from |
Value
Numeric vector of CDF values, same length as q.
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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