kyotil (version 2016.11-9)

random.functions: Random Functions

Description

rbern generates Bernoulli random variables.

Usage

dbern(x, prob, log = FALSE)
dcorbern(x, p, a, log = FALSE)
dmixnorm(x, mix.p, sd1, sd2, log = FALSE)
dnorm.norm.gamma(x, p, same.distr = FALSE, log = FALSE)
rbern(n, prob, generalized = FALSE)
rbigamma(n, shape.1, shape.2, rate.1, rate.2, rho)
rbilogistic(n, loc.1, loc.2, scale.1, scale.2, rho) 
rejective.sampling(N, n, pik)
rnorm.cor(n, mu, sd, alpha)
rnorm.norm.gamma(n, mu.0, lambda, alpha, beta)
rmixnorm (n, mix.p, mu1, mu2, sd1, sd2)

Arguments

x

prob

log

p

a

mix.p

sd1

sd2

same.distr

n

generalized

N

pik

mu

mu1

mu2

sd

alpha

mu.0

lambda

beta

loc.1

loc.2

scale.1

scale.2

rate.1

rate.2

shape.1

shape.2

rho

Details

rbilogistic generates a bivariate logistic distribution for correlation coefficient 0.5, or [-0.271, 0.478]. In the former case it is generated by calling rbilogis, part of the VGAM package; in the latter case it is generated via the AMH copular.

Examples

set.seed(1)
rbern(n=10, p=1/2)
rbern(n=2, p=c(.999,.001))

Run the code above in your browser using DataCamp Workspace