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% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/MxThreshold.R
\name{mxMarginalNegativeBinomial}
\alias{mxMarginalNegativeBinomial}
\alias{MxMarginalNegativeBinomial-class}
\alias{print,MxMarginalNegativeBinomial-method}
\alias{show,MxMarginalNegativeBinomial-method}
\alias{$,MxMarginalNegativeBinomial-method}
\alias{$<-,MxMarginalNegativeBinomial-method}
\title{Indicator with marginal Negative Binomial distribution}
\usage{
mxMarginalNegativeBinomial(
vars,
maxCount = NA,
size,
prob = c(),
mu = c(),
zeroInf = 0.01,
free = TRUE,
labels = NA,
lbound = NA,
ubound = NA
)
}
\arguments{
\item{vars}{character vector of manifest indicators}
\item{maxCount}{maximum observed count}
\item{size}{positive target number of successful trials}
\item{prob}{probability of success in each trial}
\item{mu}{alternative parametrization via mean}
\item{zeroInf}{zero inflation parameter in probability units}
\item{free}{logical vector indicating whether paremeters are free}
\item{labels}{character vector of parameter labels}
\item{lbound}{numeric vector of lower bounds}
\item{ubound}{numeric vector of upper bounds}
}
\value{
a list of MxMarginPoisson obects
}
\description{
Indicator with marginal Negative Binomial distribution
}
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