Description Usage Arguments Details Value Note Examples
Density, cumulative function, quantile function and random generation
for the Beta-negative binomial distribution
with shape parameters a
, c
, d
.
1 2 3 4 5 6 7 8 9 10 11 | dbeta_nbinom(x, a, c, d, ...)
pbeta_nbinom(q, a, c, d, ...)
qbeta_nbinom(p, a, c, d, ...)
rbeta_nbinom(n, a, c, d)
sbeta_nbinom(a, c, d)
summary_beta_nbinom(a, c, d, output = "list", ...)
|
x,q |
vector of non-negative integer quantities |
a,c,d |
non-negative shape parameters |
... |
other arguments passed to |
p |
vector of probabilities |
n |
number of observations to be sampled |
output |
type of the |
This is the mixture distribution obtained by sampling a value b from a Beta distribution with parameters c, d, then sampling a value λ from a Gamma distribution with shape a and rate b/(1-b), and then sampling a Poisson distribution with mean λ.
dbeta_nbinom
gives the density,
pbeta_nbinom
the cumulative function,
qbeta_nbinom
the quantile function,
rbeta_nbinom
samples from the distribution,
sbeta_nbinom
and summary_beta_nbinom
give some summaries of the distribution.
BNBDist
is a generic name for the functions documented.
1 2 3 | a <- 2 ; c <- 5 ; d <- 30
barplot(dbeta_nbinom(0:50, a, c, d), names=0:50)
summary_beta_nbinom(a, c, d)
|
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