bessel: Bessel Distribution

In vpnsctl/bbreg: Bessel and Beta Regressions via Expectation-Maximization Algorithm for Continuous Bounded Data

Description

Functions to calculate the cumulative distribution, probability density, generate bessel random numbers and find quantiles of the bessel distribution

Usage

dbessel(z, mu = 1/2, phi = 1)

rbessel(n, mu = 1/2, phi = 1)

pbessel(q, mu = 1/2, phi = 1)

qbessel(p, mu = 1/2, phi = 1)

Arguments

z	vector of numbers in (0,1) for which the p.d.f. is to be evaluated.
mu	vector of numbers in (0,1) representing the mean parameter.
phi	vector of positive numbers representing the precision parameter.
n	sample size.
q	vector of quantiles.
p	vector of probabilities.

Value

scalar expressing the value of the density at z.

See Also

simdata_bes, dbbtest, simdata_bet

Examples

rbessel(100, mu = 0.2, phi = 10)
pbessel(0.4, mu = 0.1)
qbessel(0.8, mu = 0.8)
plot(dbessel)

vpnsctl/bbreg documentation built on March 14, 2021, 12:11 a.m.