pmarg: Compute CDF of marginal model
In tscopula: Time Series Copula Models
pmarg R Documentation
Compute CDF of marginal model
Description
Compute the cumulative distribution function of the marginal model.
Usage
pmarg(x, q)
Arguments
x
an object of class margin.
q
vector of values at which CDF should be computed.
Value
A vector of values for the CDF.
Examples
margmod <- margin("gauss", pars = c(mu = 0, sigma = 1))
pmarg(margmod, c(-2, 0, 2))
tscopula documentation built on May 29, 2024, 5:53 a.m.
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| pmarg | R Documentation |
Compute CDF of marginal model
Description
Compute the cumulative distribution function of the marginal model.
Usage
pmarg(x, q)
Arguments
x |
an object of class margin. |
q |
vector of values at which CDF should be computed. |
Value
A vector of values for the CDF.
Examples
margmod <- margin("gauss", pars = c(mu = 0, sigma = 1))
pmarg(margmod, c(-2, 0, 2))
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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