Bell: Probability function, distribution function, quantile...
In bellreg: Count Regression Models Based on the Bell Distribution

Description Usage Arguments Details Value

Probability function, distribution function, quantile function and random generation for the Bell distribution with parameter theta.

dbell(x, theta, log = FALSE)

pbell(q, theta, lower.tail = TRUE, log.p = FALSE)

qbell(p, theta, log.p = FALSE)

rbell(n, theta)

`x`	vector of (non-negative integer) quantiles.
`theta`	parameter of the Bell distribution (theta > 0).
`log, log.p`	logical; if TRUE, probabilities p are given as log(p).
`q`	vector of quantiles.
`lower.tail`	logical; if TRUE (default), probabilities are P[X ≤ x]; otherwise, P[X > x].
`p`	vector of probabilities.
`n`	number of random values to return.

Probability mass function

f(x) = \frac{θ^{x} e^{e^{θ}+1}B_x}{x!},

where B_x is the Bell number, and x = 0, 1, ....

dbell gives the (log) probability function, pbell gives the (log) distribution function, qbell gives the quantile function, and rbell generates random deviates.

bellreg documentation built on July 1, 2020, 8:29 p.m.