PoissonNoise: Generate Data with Poisson Noise
In CCI: Computational Test for Conditional Independence
PoissonNoise R Documentation
Generate Data with Poisson Noise
Description
Adds Poisson noise to a nonlinear combination of Z1 and Z2.
Usage
PoissonNoise(N, lambda = 1)
Arguments
N
Integer. Sample size.
lambda
Numeric. Rate parameter for the Poisson distribution. Default is 1.
Value
A data frame with columns Z1, Z2, X, and Y.
Examples
head(PoissonNoise(100))
CCI documentation built on Aug. 29, 2025, 5:17 p.m.
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| PoissonNoise | R Documentation |
Generate Data with Poisson Noise
Description
Adds Poisson noise to a nonlinear combination of Z1 and Z2.
Usage
PoissonNoise(N, lambda = 1)
Arguments
N |
Integer. Sample size. |
lambda |
Numeric. Rate parameter for the Poisson distribution. Default is 1. |
Value
A data frame with columns Z1, Z2, X, and Y.
Examples
head(PoissonNoise(100))
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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