Poisson_Sim: Simulation for Poisson Distribution
In ACSWR: A Companion Package for the Book "A Course in Statistics with R"
Description
Usage
Arguments
Author(s)
See Also
Examples
Description
A simple function to understand the algorithm to simulate (psuedo-)observations from binomial distribution. It is an implementation of the algorithm given in Section 11.3.1 "Simulation from Discrete Distributions". This function is not an alternative to the "rpois" function.
Usage
1
Poisson_Sim(lambda, n)
Arguments
lambda
rate of the Poisson RV
n
required number of pseudo-observations
Author(s)
Prabhanjan N. Tattar
See Also
rpois
Examples
1
2
set.seed(123)
mean(Poisson_Sim(4,1000))
Example output
[1] 3.986
ACSWR documentation built on May 2, 2019, 6:53 a.m.
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Description Usage Arguments Author(s) See Also Examples
Description
A simple function to understand the algorithm to simulate (psuedo-)observations from binomial distribution. It is an implementation of the algorithm given in Section 11.3.1 "Simulation from Discrete Distributions". This function is not an alternative to the "rpois" function.
Usage
1 | Poisson_Sim(lambda, n)
|
Arguments
lambda |
rate of the Poisson RV |
n |
required number of pseudo-observations |
Author(s)
Prabhanjan N. Tattar
See Also
rpois
Examples
1 2 | set.seed(123)
mean(Poisson_Sim(4,1000))
|
Example output
[1] 3.986
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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