boot_fitstats: Bootstrap Goodness-of-fit Statistics

In philipshirk/nmmsims: Simulate & Analyze N-mixture Model Data

Description

This function bootstraps p-values for the test statistics calculated with fitstats_optim(). It uses the sim_data() function in this package to simulate unbiased datasets.

Usage

boot_fitstats(
  n_sites,
  n_samps,
  lambda,
  sigma,
  det_prob,
  analysis_method = "optim",
  sampling_method = "distance",
  W = 20,
  nsim = 10,
  parallel = FALSE
)

Arguments

n_sites	Number of sites to simulate
n_samps	Number of samples (replicates) per site to simulate
lambda	mean number of organisms at each site (1 draw per site)
sigma	SD of half-normal detection function
det_prob	mean detection probability (across distances from 0 to W)
sampling_method	either "pointcount' or 'distance'
W	Transect half-width
nsim	number of simulations # progress_bar = FALSE,
parallel	Logical. Whether or not to use parallel processing for the simulations. Defaults to FALSE.

Value

data.frame with 3 columns (1 for each fit statistic) and nsim rows.

philipshirk/nmmsims documentation built on Feb. 26, 2020, 11:27 a.m.