mixlink (version 0.1.5)

Mixture Link Binomial Distribution: Distribution functions

Description

Functions for Mixture Link Binomial distribution

Usage

r.mixlink.binom(n, mean, Pi, kappa, m, save.latent = FALSE)
d.mixlink.binom(y, m, mean, Pi, kappa, log = FALSE)
p.mixlink.binom(y, m, mean, Pi, kappa)

Arguments

n

Number of observations to draw

mean

Parameter \(\vartheta\) of distribution

Pi

Parameter \(\bm{\pi}\) of distribution

kappa

Parameter \(\kappa\) of distribution

m

Number of success/failure trials

save.latent

Save intermediate latent variables used during draw.

y

Argument of pdf or cdf

log

Return log of the result (TRUE or FALSE)

Value

d.mixlink.binom gives the density, p.mixlink.binom gives the distribution function, and r.mixlink.binom generates random deviates.

References

Andrew M. Raim, Nagaraj K. Neerchal, and Jorge G. Morel. An Extension of Generalized Linear Models to Finite Mixture Outcomes. arXiv preprint: 1612.03302

Examples

# NOT RUN {
  mean.true <- 1/3
  Pi.true <- c(1/5, 4/5)
  kappa.true <- 0.5
  m <- 10
  r.mixlink.binom(n = 30, mean.true, Pi.true, kappa.true, m)
  d.mixlink.binom(y = 5, m, mean.true, Pi.true, kappa.true)
  d.mixlink.binom(y = 5, m, mean.true, Pi.true, kappa.true, log = TRUE)
  p.mixlink.binom(y = 5, m, mean.true, Pi.true, kappa.true)
# }