SineGaussianNoise: Generate Sine-Gaussian Data (Bivariate)
In CCI: Computational Test for Conditional Independence
SineGaussianNoise R Documentation
Generate Sine-Gaussian Data (Bivariate)
Description
This function generates bivariate data with nonlinear dependencies based on a Gaussian density envelope and sinusoidal functions.
Usage
SineGaussianNoise(N, a = 1, d = 0)
Arguments
N
Integer. Sample size.
a
Numeric. Frequency parameter for the sine function. Default is 1.
d
Numeric. Strength of dependency between X and Y. Default is 0.
Value
A data frame with columns Z1, Z2, X, and Y.
CCI documentation built on Aug. 29, 2025, 5:17 p.m.
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| SineGaussianNoise | R Documentation |
Generate Sine-Gaussian Data (Bivariate)
Description
This function generates bivariate data with nonlinear dependencies based on a Gaussian density envelope and sinusoidal functions.
Usage
SineGaussianNoise(N, a = 1, d = 0)
Arguments
N |
Integer. Sample size. |
a |
Numeric. Frequency parameter for the sine function. Default is 1. |
d |
Numeric. Strength of dependency between X and Y. Default is 0. |
Value
A data frame with columns Z1, Z2, X, and Y.
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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