This function simulate from the MMPCA model with an additional
noise parameter epsilon. The number of cluster is Q=6 for K=4 topics. The
parameter beta is taken to be the row normalized document-term matrix of 4
BBC messages contained in BBCmsg.
vector of length N containing the total count per observations.
Duplicated if integer.
epsilon
The noise level in the latent space. Quantify how far the
distribution is from theta_true
lambda
A parameter quantifying the class proportion. lambda=1 means
balanced cluster sizes, lower means that the last clusters are bigger, with
an geometric decay in cluster size for the first ones.
theta_true
The true parameter theta for the simulation. If NULL
(default) then it is initialized to the default value of the experimental
section of the paper.
Value
A list with names
dtm.full: A
DocumentTermMatrix object containing the simulated
document-term matrix