ipm_bootstrap: Parametric Bootstrap Estimation

In zywhy9/IPM: Integrated Population Model

Description

Using parametric bootstrap to compute credible interval.

Usage

ipm_bootstrap(
  result,
  data = NULL,
  type = "l",
  real = NULL,
  priors = NULL,
  times = 1000,
  maxtime = 5,
  unit = "mins",
  save = 20000L,
  chain = 3
)

Arguments

result	an mcmcrs object, the result from ipm_analyse.
data	an nlists object, simulation dataset returned by ipm_sim.
type	a string, specifying the model used to analyse, commonly "l", "cl" and "clcl".
real	an list object, specifying the real value using for simulation.
priors	a string of code to set the prior.
times	a scalar, specifying the number of samples.
maxtime	a scalar, specifying the maximum time to spend on analysis.
unit	a character string specifying the units of time for max.time. See difftime.
save	a scalar, the number of (potentially thinned) samples to save.
chain	a scalar, the number of MCMC chains.

Value

a list object, containing credible interval, RMSE and coverage probability.

zywhy9/IPM documentation built on April 19, 2020, 10:24 p.m.