Randomized-quantile-residuals: Randomized quantile residuals for Mixture Link

In mixlink: Mixture Link Regression

Description

Compute randomized quantile residuals for the Mixture Link Binomial and Mixture Link Poisson distributions.

Usage

rqres.mixlink.binom(y, m, mean, Pi, kappa)

rqres.mixlink.pois(y, mean, Pi, kappa)

Arguments

y	The observations
m	Number of success/failure trials
mean	Estimate for parameter \vartheta of distribution
Pi	Estimate for parameter \bm{π} of distribution
kappa	Estimate for parameter κ of distribution

Value

Vector of residuals

References

Peter K. Dunn and Gordon K. Smyth. Randomized quantile residuals. Journal of Computational and Graphical Statistics, 5(3):236-244, 1996.

Examples

n <- 400
mean.true <- rep(20, n)
Pi.true <- c(1/4, 3/4)
kappa.true <- 1.5
y <- r.mixlink.pois(n, mean.true, Pi.true, kappa.true)
r <- rqres.mixlink.pois(y, mean.true, Pi.true, kappa.true)
qqnorm(r); qqline(r)

mixlink documentation built on May 2, 2019, 5:11 a.m.