# 6/12/2004
# this is MN5, the Multinomial distribution with probabilities for y values 1, 2, 3, 4 and 5.
MN5 <- function (mu.link="log", sigma.link="log", nu.link="log", tau.link="log")
{
mstats <- checklink("mu.link", "MN5", substitute(mu.link),
c("1/mu^2", "log", "identity"))
dstats <- checklink("sigma.link", "MN5", substitute(sigma.link),
c("1/sigma^2", "log", "identity"))
vstats <- checklink("nu.link", "MN5", substitute(nu.link),
c("1/nu^2", "log", "identity"))
tstats <- checklink("tau.link", "MN5", substitute(tau.link),
c("1/tau^2", "log", "identity"))
structure(
list(family = c("MN5", "Multinomial 5 levels"),
parameters = list(mu=TRUE, sigma=TRUE, nu=TRUE, tau=TRUE),
nopar = 4,
type = "Discrete",
mu.link = as.character(substitute(mu.link)),
sigma.link = as.character(substitute(sigma.link)),
nu.link = as.character(substitute(nu.link)),
tau.link = as.character(substitute(tau.link)),
mu.linkfun = mstats$linkfun,
sigma.linkfun = dstats$linkfun,
nu.linkfun = vstats$linkfun,
tau.linkfun = tstats$linkfun,
mu.linkinv = mstats$linkinv,
sigma.linkinv = dstats$linkinv,
nu.linkinv = vstats$linkinv,
tau.linkinv = tstats$linkinv,
mu.dr = mstats$mu.eta,
sigma.dr = dstats$mu.eta,
nu.dr = vstats$mu.eta,
tau.dr = tstats$mu.eta,
dldm = function(y,mu,sigma,nu,tau) {dldm <- ifelse(y==1,(1/mu),0) -(1/(1+mu+sigma+nu+tau))
dldm},
dldd = function(y,mu,sigma,nu,tau) {dldd <- ifelse(y==2,(1/sigma),0) -(1/(1+mu+sigma+nu+tau))
dldd},
dldv = function(y,mu,sigma,nu,tau) {dldv <- ifelse(y==3,(1/nu),0) -(1/(1+mu+sigma+nu+tau))
dldv},
dldt= function(y,mu,sigma,nu,tau) {dldt <- ifelse(y==4,(1/tau),0) -(1/(1+mu+sigma+nu+tau))
dldt},
d2ldm2 = function(mu,sigma,nu,tau) {d2ldm2 <- -(1+sigma+nu+tau)/(mu*((1+mu+sigma+nu+tau)^2))
d2ldm2},
d2ldd2 = function(mu,sigma,nu,tau) {d2ldd2 <- -(1+mu+nu+tau)/(sigma*((1+mu+sigma+nu+tau)^2))
d2ldd2},
d2ldv2 = function(mu,sigma,nu,tau) {d2ldv2 <- -(1+mu+sigma+tau)/(nu*((1+mu+sigma+nu+tau)^2))
d2ldv2},
d2ldt2 = function(y,mu,sigma,nu,tau) {d2ldt2 <- -(1+mu+sigma+nu)/(tau*((1+mu+sigma+nu+tau)^2))
d2ldt2},
d2ldmdd = function(mu,sigma,nu,tau) {d2ldmdd <- 1/((1+mu+sigma+nu+tau)^2)
d2ldmdd},
d2ldmdv = function(mu,sigma,nu,tau) {d2ldmdv <- 1/((1+mu+sigma+nu+tau)^2)
d2ldmdv},
d2ldmdt = function(mu,sigma,nu,tau) {d2ldmdt <- 1/((1+mu+sigma+nu+tau)^2)
d2ldmdt},
d2ldddv = function(mu,sigma,nu,tau) {d2ldddv <- 1/((1+mu+sigma+nu+tau)^2)
d2ldddv},
d2ldddt = function(mu,sigma,nu,tau) {d2ldddt <- 1/((1+mu+sigma+nu+tau)^2)
d2ldddt},
d2ldvdt = function(mu,sigma,nu,tau) {d2ldvdt <- 1/((1+mu+sigma+nu+tau)^2)
d2ldvdt},
G.dev.incr = function(y,mu,sigma,nu,tau,...)
{
G.dev.incr <- -2*dMN5(y,mu,sigma,nu,tau,log=TRUE)
} ,
rqres = expression(
{ stot <- 1+mu+sigma+nu+tau
uval <- ifelse(y==1,(mu/(stot))*runif(length(y),0,1),0)
uval <- ifelse(y==2, (mu/(stot))+(sigma/(stot))*runif(length(y),0,1) ,uval)
uval <- ifelse(y==3, ((mu+sigma)/(stot))+(nu/(stot))*runif(length(y),0,1) ,uval)
uval <- ifelse(y==4, ((mu+sigma+nu)/(stot))+(tau/(stot))*runif(length(y),0,1) ,uval)
uval <- ifelse(y==5, ((mu+sigma+nu+tau)/(stot))+(1/(stot))*runif(length(y),0,1) ,uval)
rqres <- qnorm(uval)
}) ,
mu.initial = expression(mu <- rep(0.2, length(y))),
sigma.initial = expression(sigma <-rep(0.2, length(y))),
nu.initial = expression(nu <- rep(0.2, length(y))),
tau.initial = expression(tau <-rep(0.2, length(y))),
mu.valid = function(mu) all(mu > 0) ,
sigma.valid = function(sigma) all(sigma > 0),
nu.valid = function(nu) all(nu > 0) ,
tau.valid = function(tau) all(tau > 0),
y.valid = function(y) all(y >= 1 & y <= 5)
),
class = c("gamlss.family","family"))
}
dMN5<-function(x, mu=1, sigma=1, nu=1, tau=1, log=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(nu <= 0) ) stop(paste("nu must be greater than 0", "\n", ""))
if (any(tau <= 0) ) stop(paste("tau must be greater than 0", "\n", ""))
if (any(x < 1) | any(x > 5)) stop(paste("x must be 1, 2, 3, 4 or 5", "\n", ""))
logfy <- rep(0, length(x))
logfy <- ifelse((x==1), log(mu), logfy)
logfy <- ifelse((x==2), log(sigma) , logfy)
logfy <- ifelse((x==3), log(nu) , logfy)
logfy <- ifelse((x==4), log(tau) , logfy)
logfy <- logfy - log(1+mu+sigma+nu+tau)
if(log==FALSE) fy <- exp(logfy) else fy <- logfy
fy
}
pMN5 <- function(q, mu=1, sigma=1, nu=1, tau=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(nu <= 0) ) stop(paste("nu must be greater than 0", "\n", ""))
if (any(tau <= 0) ) stop(paste("tau must be greater than 0", "\n", ""))
if (any(q < 1) | any(q > 5)) stop(paste("y must be 1, 2, 3, 4 or 5", "\n", ""))
cdf <- ifelse((q==1), mu, 0)
cdf <- ifelse((q==2), mu+sigma,cdf)
cdf <- ifelse((q==3), mu+sigma+nu , cdf)
cdf <- ifelse((q==4), mu+sigma+nu+tau , cdf)
cdf <- cdf/(1+mu+sigma+nu+tau)
cdf <- ifelse((q==5), 1 , cdf)
if(lower.tail==TRUE) cdf <- cdf else cdf=1-cdf
if(log.p==FALSE) cdf <- cdf else cdf <- log(cdf)
cdf
}
qMN5 <- function(p, mu=1, sigma=1, nu=1, tau=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(nu <= 0) ) stop(paste("nu must be greater than 0", "\n", ""))
if (any(tau <= 0) ) stop(paste("tau must be greater than 0", "\n", ""))
if (any(p <= 0) | any(p >= 1)) stop(paste("p must be between 0 and 1", "\n", ""))
q <- 1
q <- ifelse((p>=(mu/(1+mu+sigma+nu+tau))), 2, q)
q <- ifelse((p>=((mu+sigma)/(1+mu+sigma+nu+tau))), 3, q)
q <- ifelse((p>=((mu+sigma+nu)/(1+mu+sigma+nu+tau))), 4, q)
q <- ifelse((p>=((mu+sigma+nu+tau)/(1+mu+sigma+nu+tau))), 5, q)
q
}
rMN5 <- function(n, mu=1, sigma=1, nu=1, tau=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(nu <= 0) ) stop(paste("nu must be greater than 0", "\n", ""))
if (any(tau <= 0) ) stop(paste("tau must be greater than 0", "\n", ""))
if (any(n <= 0)) stop(paste("n must be a positive integer", "\n", ""))
n <- ceiling(n)
p <- runif(n)
r <- qMN5(p, mu=mu, sigma=sigma, nu=nu, tau=tau)
r
}
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