bin_ps: CFTP Binomial Random Numbers
In binomialcftp: Generates binomial random numbers via the coupling from the past algorithm
Description
Usage
Arguments
Details
Value
Note
Author(s)
References
Examples
Description
Main function, return 0-n binomial distributed random numbers according to the coupling from the past algorithm
Usage
1
bin_ps(x, n, p)
Arguments
x
sample_size:number of random numbers desired
n
n= binomial parameter
p
p= binomial parameter
Details
As usual,p should be between 0 and 1 and n should be any positive integer
Value
values
Random numbers
iteration_needed
Number of iterations needed until coalescence
rand_used
Number of random numbers used
Note
Running time is different as n and p change
Author(s)
Francisco Juretig <fjuretig@yahoo.com>
References
James G. Propp and David B. Wilson. Exact sampling with coupled Markov chains and applications to statistical mechanics. Random Structures and Algorithms, 9(1&2):223–252, 1996.
Examples
1
bin_ps(1000, 20, 0.5)
binomialcftp documentation built on May 29, 2017, 4:09 p.m.
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Description Usage Arguments Details Value Note Author(s) References Examples
Description
Main function, return 0-n binomial distributed random numbers according to the coupling from the past algorithm
Usage
1 | bin_ps(x, n, p)
|
Arguments
x |
sample_size:number of random numbers desired |
n |
n= binomial parameter |
p |
p= binomial parameter |
Details
As usual,p should be between 0 and 1 and n should be any positive integer
Value
values |
Random numbers |
iteration_needed |
Number of iterations needed until coalescence |
rand_used |
Number of random numbers used |
Note
Running time is different as n and p change
Author(s)
Francisco Juretig <fjuretig@yahoo.com>
References
James G. Propp and David B. Wilson. Exact sampling with coupled Markov chains and applications to statistical mechanics. Random Structures and Algorithms, 9(1&2):223–252, 1996.
Examples
1 | bin_ps(1000, 20, 0.5)
|
R Package Documentation
Browse R Packages
We want your feedback!
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