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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")
::install_github("leejeo25/frbinom") devtools
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.
<-rfrbinom(10000, 50, .6, .7, .2)
x<-dfrbinom(seq(0,50,1), 50, .6, .7, .2)
den.hist(x, breaks=51, probability = TRUE, main="Histogram of fractional binomial random variables and its density")
lines(seq(0,50,1), den., type="l")
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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