random.functions {kyotil}R Documentation

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)

rdoublexp(n, location=0, scale=1) 
ddoublexp(x, location=0, scale=1) 
qdoublexp(p, location=0, scale=1) 
pdoublexp(q, location=0, scale=1) 

rbidoublexp(n, loc.1, loc.2, scale.1, scale.2, rho) 

Arguments

q
location
scale
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))


[Package kyotil version 2018.10-17 Index]