# 3/12/2004
#------------------------------------------------------------------------------------------
# this is ZIP, the Poisson Zero Inflated distribution with extra probability for 0
ZIP <- function (mu.link = "log", sigma.link = "logit")
{
mstats <- checklink("mu.link", "ZIP", substitute(mu.link),
c("1/mu^2", "log", "identity"))
dstats <- checklink("sigma.link", "ZIP", substitute(sigma.link),
c("logit", "probit", "cloglog", "cauchit", "log", "own"))
structure(
list(family = c("ZIP", "Poisson Zero Inflated"),
parameters = list(mu=TRUE, sigma=TRUE),
nopar = 2,
type = "Discrete",
mu.link = as.character(substitute(mu.link)),
sigma.link = as.character(substitute(sigma.link)),
mu.linkfun = mstats$linkfun,
sigma.linkfun = dstats$linkfun,
mu.linkinv = mstats$linkinv,
sigma.linkinv = dstats$linkinv,
mu.dr = mstats$mu.eta,
sigma.dr = dstats$mu.eta,
dldm = function(y,mu,sigma) {dldm0 <- -(1-sigma)*(((1-sigma)+sigma*exp(mu))^(-1))
dldm <- ifelse(y==0, dldm0, (y/mu)-1)
dldm},
d2ldm2 = function(y,mu,sigma) {dldm0 <- -(1-sigma)*(((1-sigma)+sigma*exp(mu))^(-1))
dldm <- ifelse(y==0, dldm0, (y/mu)-1)
d2ldm2 <- -dldm*dldm
# d2ldm2 <- (sigma*(1-sigma)*(((1-sigma)+sigma*exp(mu))^(-1)))-(1-sigma)/mu
d2ldm2 <- ifelse(d2ldm2 < -1e-15, d2ldm2,-1e-15)
d2ldm2},
dldd = function(y,mu,sigma) {dldd0 <- (1-exp(-mu))*((sigma+(1-sigma)*exp(-mu))^(-1))
dldd <- ifelse(y==0, dldd0, -1/(1-sigma))
dldd},
d2ldd2 = function(y,mu,sigma) {dldd0 <- (1-exp(-mu))*((sigma+(1-sigma)*exp(-mu))^(-1))
dldd <- ifelse(y==0, dldd0, -1/(1-sigma))
d2ldd2 <- -dldd*dldd
# py0 <- sigma+(1-sigma)*exp(-mu)
# d2ldd2 <- -((1-exp(-mu))^2)*py0 - (1-py0)/((1-sigma)^2)
d2ldd2 <- ifelse(d2ldd2 < -1e-15, d2ldd2,-1e-15)
d2ldd2},
d2ldmdd = function(y,mu,sigma) {dldm0 <- -(1-sigma)*(((1-sigma)+sigma*exp(mu))^(-1))
dldm <- ifelse(y==0, dldm0, (y/mu)-1)
dldd0 <- (1-exp(-mu))*((sigma+(1-sigma)*exp(-mu))^(-1))
dldd <- ifelse(y==0, dldd0, -1/(1-sigma))
d2ldmdd <- -dldm*dldd
#d2ldmdd <- exp(-mu) + (1-sigma)*exp(-mu)*(1-exp(-mu))*((sigma+(1-sigma)*exp(-mu))^(-1))
d2ldmdd
},
G.dev.incr = function(y,mu,sigma,...) -2*dZIP(y,mu,sigma,log=TRUE),
rqres = expression(rqres(pfun="pZIP", type="Discrete", ymin=0, y=y, mu=mu, sigma=sigma)) ,
mu.initial = expression(mu <- (y+mean(y))/2), #rep(mean(y),length(y)) ),
sigma.initial = expression(sigma <-rep(0.1, length(y))),
mu.valid = function(mu) all(mu > 0) ,
sigma.valid = function(sigma) all(sigma > 0 & sigma < 1),
y.valid = function(y) all(y >= 0),
mean = function(mu, sigma) (1 - sigma) * mu,
variance = function(mu, sigma) mu * (1 - sigma) * (1 + mu * sigma)
),
class = c("gamlss.family","family"))
}
#------------------------------------------------------------------------------------------
dZIP<-function(x, mu = 5, sigma = 0.1, log = FALSE)
{
if (any(mu <= 0) ) stop(paste("mu must be greater than 0", "\n", ""))
if (any(sigma <= 0) | any(sigma >= 1) ) stop(paste("sigma must be between 0 and 1", "\n", ""))
if (any(x < 0) ) stop(paste("x must be 0 or greater than 0", "\n", ""))
ly <- max(length(x),length(mu),length(sigma))
x <- rep(x, length = ly)
sigma <- rep(sigma, length = ly)
mu <- rep(mu, length = ly)
logfy <- rep(0, ly)
logfy <- ifelse((x==0), log(sigma+(1-sigma)*exp(-mu)), (log(1-sigma) -mu +x*log(mu) -lgamma(x+1)))
if(log == FALSE) fy <- exp(logfy) else fy <- logfy
fy
}
#------------------------------------------------------------------------------------------
pZIP <- function(q, mu = 5, sigma = 0.1, lower.tail = TRUE, log.p = FALSE)
{
if (any(mu <= 0) ) stop(paste("mu must be greater than 0", "\n", ""))
if (any(sigma <= 0) | any(sigma >= 1) ) stop(paste("sigma must be between 0 and 1", "\n", ""))
if (any(q < 0) ) stop(paste("y must be 0 or greater than 0", "\n", ""))
ly <- max(length(q),length(mu),length(sigma))
q <- rep(q, length = ly)
sigma <- rep(sigma, length = ly)
mu <- rep(mu, length = ly)
cdf <- rep(0,ly)
cdf <- ppois(q, lambda = mu, lower.tail = TRUE, log.p = FALSE)
cdf <- sigma + (1-sigma)*cdf
if(lower.tail == TRUE) cdf <- cdf else cdf <-1-cdf
if(log.p==FALSE) cdf <- cdf else cdf <- log(cdf)
cdf
}
#-----------------------------------------------------------------------------------------
qZIP <- function(p, mu = 5, sigma = 0.1, lower.tail = TRUE, log.p = FALSE)
{
if (any(mu <= 0) ) stop(paste("mu must be greater than 0", "\n", ""))
if (any(sigma <= 0) ) stop(paste("sigma must be greater than 0", "\n", ""))
if (any(p <= 0) | any(p >= 1)) stop(paste("p must be between 0 and 1", "\n", ""))
if (log.p == TRUE) p <- exp(p) else p <- p
if (lower.tail == TRUE) p <- p else p <- 1 - p
ly <- max(length(p),length(mu),length(sigma))
p <- rep(p, length = ly)
sigma <- rep(sigma, length = ly)
mu <- rep(mu, length = ly)
pnew <- ((p-sigma)/(1-sigma))-(1e-7)# added Monday, March 15, 2010
pnew <- ifelse(pnew > 0, pnew,0 )
q <- qpois(pnew, lambda = mu )
q
}
#-----------------------------------------------------------------------------------------
rZIP <- function(n, mu=5, sigma=0.1)
{
if (any(mu <= 0) ) stop(paste("mu must greated than 0", "\n", ""))
if (any(sigma <= 0) ) stop(paste("sigma must greated than 0", "\n", ""))
if (any(n <= 0)) stop(paste("n must be a positive integer", "\n", ""))
n <- ceiling(n)
p <- runif(n)
r <- qZIP(p, mu = mu, sigma = sigma)
r
}
#-----------------------------------------------------------------------------------------
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