% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/discrete_process.R
\name{rfuzzyurn}
\alias{rfuzzyurn}
\title{Generalized Non-Central Fuzzy Dynamic Sampling}
\usage{
rfuzzyurn(n, Z, mu, w0, gamma_kernel = NULL, delta = NULL)
}
\arguments{
\item{n}{Integer. Number of draws (sample size).}

\item{Z}{Matrix. Latent feature matrix (N x d) for finite population universe.}

\item{mu}{Function or Vector. Fuzzy membership mapping mu(z) in [0, 1].}

\item{w0}{Function or Vector. Baseline intrinsic attraction weights w0(z) > 0.}

\item{gamma_kernel}{Function. Symmetric interaction kernel gamma(z_i, z_j).}

\item{delta}{Vector or Matrix. Depletion/decay rates delta_i(t).}
}
\value{
List containing selected indices, trajectory of fuzzy mass X_t, and final mass.
}
\description{
Simulates discrete trajectory of fuzzy success accumulation under dynamic state-dependent weights.
}
