Description Details Author(s) References Examples
Implementation of both the exact and approximation methods for computing the cdf of the Poisson binomial distribution as described in Hong (2013) <doi: 10.1016/j.csda.2012.10.006>. It also provides the pmf, quantile function, and random number generation for the Poisson binomial distribution. The C code for fast Fourier transformation (FFT) is written by R Core Team (2019)<https://www.R-project.org/>, which implements the FFT algorithm in Singleton (1969) <doi: 10.1109/TAU.1969.1162042>.
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Yili Hong [aut, cre], R Core Team [aut, cph]
Maintainer: Yili Hong <yilihong@vt.edu>
Hong, Y. (2013). On computing the distribution function for the Poisson binomial distribution. Computational Statistics & Data Analysis, Vol. 59, pp. 41-51.
R Core Team (2019). “R: A Language and Environment for Statistical Computing,” R Foundation for Statistical Computing, Vienna, Austria, url: https://www.R-project.org/.
Singleton, R. C. (1969). An algorithm for computing the mixed radix fast Fourier transform. IEEE Transactions on Audio and Electroacoustics, Vol. 17, pp. 93-103.
1 2 3 4 5 6 7 8 9 10 | kk=0:10
pp=c(.1,.2,.3,.4,.5)
ppoibin(kk=kk, pp=pp, method = "DFT-CF",wts=rep(2,5))
ppoibin(kk=kk, pp=pp, method = "RF",wts=rep(2,5))
ppoibin(kk=kk, pp=pp, method = "RNA",wts=rep(2,5))
ppoibin(kk=kk, pp=pp, method = "NA",wts=rep(2,5))
ppoibin(kk=kk, pp=pp, method = "PA",wts=rep(2,5))
dpoibin(kk=kk, pp=pp,wts=rep(2,5))
qpoibin(qq=0:10/10,pp=pp,wts=rep(2,5))
rpoibin(m=2,pp=pp,wts=rep(2,5))
|
[1] 0.02286144 0.13517280 0.37211652 0.65383500 0.86212984 0.96181016
[7] 0.99294500 0.99918348 0.99994720 0.99999856 1.00000000
[1] 0.02286144 0.13517280 0.37211652 0.65383500 0.86212984 0.96181016
[7] 0.99294500 0.99918348 0.99994720 0.99999856 1.00000000
[1] 0.02812958 0.13669805 0.37078646 0.65398594 0.86019757 0.95840421
[7] 0.99114093 0.99873860 0.99988766 0.99999400 0.99999981
[1] 0.03486268 0.13825024 0.35840026 0.64159974 0.86174976 0.96513732
[7] 0.99444416 0.99945199 0.99996698 0.99999879 0.99999997
[1] 0.04978707 0.19914827 0.42319008 0.64723189 0.81526324 0.91608206
[7] 0.96649146 0.98809550 0.99619701 0.99889751 0.99970766
[1] 0.02286144 0.11231136 0.23694372 0.28171848 0.20829484 0.09968032
[7] 0.03113484 0.00623848 0.00076372 0.00005136 0.00000144
[1] 0 1 2 2 3 3 3 4 4 5 10
[1] 5 5
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