GenHMM1d (version 0.2.1)

bfun: Bootstrap for the univariate distributions

Description

Bootstrap for the univariate distributions

Usage

bfun(
  theta,
  Q,
  ZI,
  family,
  n,
  size = 0,
  max_iter = 10000,
  eps = 1e-04,
  useFest = TRUE
)

Value

Internal function used for the parametric bootstrap

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

useFest

TRUE (default) to use the first estimated parameters as starting value for the bootstrap, FALSE otherwise