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The goal of frbinom is to generate random variables of fractional binomial distribution and compute its density, cumulative distribution, and quantiles.
You can install the development version of frbinom from GitHub with:
# install.packages("devtools")
devtools::install_github("leejeo25/frbinom")
10 random variables of a fractional binomial distribution.
library(frbinom)
rfrbinom(n=10, size=50, prob=.6, h=.7, c=.2)
#> [1] 34 33 40 34 39 32 34 25 34 37
The probability density of the fractional binomial distribution.
dfrbinom(x=seq(0,50,1), size=50, prob=.6, h=.7, c=.2)
#> [1] 3.309256e-02 1.431863e-03 1.557437e-03 1.698900e-03 1.858815e-03
#> [6] 2.040225e-03 2.246763e-03 2.482766e-03 2.753423e-03 3.064954e-03
#> [11] 3.424806e-03 3.841903e-03 4.326913e-03 4.892553e-03 5.553920e-03
#> [16] 6.328817e-03 7.238051e-03 8.305650e-03 9.558921e-03 1.102823e-02
#> [21] 1.274636e-02 1.474727e-02 1.706397e-02 1.972538e-02 2.275181e-02
#> [26] 2.614900e-02 2.990078e-02 3.396057e-02 3.824255e-02 4.261379e-02
#> [31] 4.688921e-02 5.083182e-02 5.416082e-02 5.657003e-02 5.775753e-02
#> [36] 5.746564e-02 5.552719e-02 5.191025e-02 4.675122e-02 4.036456e-02
#> [41] 3.322041e-02 2.588705e-02 1.894504e-02 1.289015e-02 8.049503e-03
#> [46] 4.535348e-03 2.251572e-03 9.509789e-04 3.228462e-04 7.917274e-05
#> [51] 1.070436e-05
The histogram of fractional binomial random variables overlaid with its density.
x<-rfrbinom(10000, 50, .6, .7, .2)
den.<-dfrbinom(seq(0,50,1), 50, .6, .7, .2)
hist(x, breaks=51, probability = TRUE, main="Histogram of fractional binomial random variables and its density")
lines(seq(0,50,1), den., type="l")
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