aoristic_vm_bootstrap: Obtain bootstrap standard errors for aoristic von Mises MLE's

In keesmulder/aoristicinference: Analyses for aoristic (ie. interval-censored circular) data through descriptive, parametric and non-parametric models

Description

Obtain bootstrap standard errors for aoristic von Mises MLE's

Usage

aoristic_vm_bootstrap(data, R = 1000L, probs = c(0.025, 0.975),
  kp_max = 100, tol = 0.01, ...)

Arguments

data	Aoristic Data with columns t_start and t_end.
R	Number of bootstrap samples.
probs	Confidence interval probabilities.
kp_max	Maximum possible value of concentration parameter kappa to consider in the optimization.
tol	Tolerance of the optimization.
...	Further arguments to boot, such as arguments to enable parallel computation.

Value

An object of type aovmboot containing a table of results, the bootstrap sample, and the original boot object.

Examples

dat <- generateAoristicData()
aoristic_vm_bootstrap(dat, R = 4)

keesmulder/aoristicinference documentation built on May 4, 2019, 3:17 p.m.