fitUserDefinedDist-class: An S4 class to fit a user-defined distribution on a vector of...
In optimalThreshold: Bayesian Methods for Optimal Threshold Estimation

This class allows to fit a user-defined distribution on the marker values x.

This class is automatically created when the user applies the fit function with the argument distr="user". You never have to create manually this class, it is created internally.

x: This slot takes in argument the marker values. Numeric argument.
n: Length of x vector (including NA values). Numeric argument.
paraNames: This slot is a character vector of distribution parameter names.
mcmcList: This slot is an mcmc.list object summing up all the sampled parameters of the user-defined distribution.
cdf: This slot is a function that describes the cumulative distribution function of the user-defined distribution.
gradient: This slot is a function that describes the probability density function of the user-defined distribution.
hessian: This slot is a function that describes the fisrt derivative of the probability density function of the user-defined distribution.
mcmc: This slot allows the main function to k,now whether an MCMC algorithm must be performed to sample the distribution parameters from their posterior distribution.