bfun: Bootstrap for the univariate distributions

In GenHMM1d: Goodness-of-Fit for Zero-Inflated Univariate Hidden Markov Models

Bootstrap for the univariate distributions

Description

Bootstrap for the univariate distributions

Usage

bfun(theta, Q, ZI, family, start, n, size, max_iter, eps)

Arguments

theta	parameters
Q	transition matrix for the regimes
ZI	1 if zero-inflated, 0 otherwise (default)
family	distribution name; (run the command distributions() for help)
n	number of simulated observations
size	additional parameter for some discrete distributions; run the command distributions() for help
max_iter	maximum number of iterations of the EM algorithm; suggestion 10000
eps	precision (stopping criteria); suggestion 0.0001

Value

Internal function used for the parametric bootstrap

GenHMM1d documentation built on Sept. 9, 2025, 5:50 p.m.