fitGammaDist-class: An S4 class to fit a gamma distribution on a vector of marker...
In optimalThreshold: Bayesian Methods for Optimal Threshold Estimation

This class allows to fit a gamma distribution on the marker values x.

This class is automatically created when the user applies the fit function with the argument distr="gamma". 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.
ini: This slot is a list of initial values passed to the MCMC algorithm. List argument.
thin: This slot is a strictly positive integer value that specifies the 'thin' applied to the MCMC algorithm.
burnin: This slot is a positive integer value that specifies the length of the burnin period in the MCMC algorithm.
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.