confint.ellipsoid: Confidence interval for ellipsoid parameters using simulation

In antiphon/Kdirectional: Analysis of anisotropy in point patterns using second order statistics

Confidence interval for ellipsoid parameters using simulation

Description

Assuming normality of errors.

Usage

## S3 method for class 'ellipsoid'
confint(
  object,
  parm,
  level,
  fun,
  nsim = 1000,
  probs = c(0.025, 0.975),
  Asolve.eps = 0.01,
  ...
)

Arguments

object	Fitted ellipsoid
fun	Optional contrast function. See ellipse_contrast_2d for an example.
probs	The quantiles for the CI. Default is c(0.025, 0.975)
Asolve.eps	Inflate the A matrix diagonals by a factor of eps, to avoid numerical problems with (near) singular parameter sets.
...	Passed on to sample_ellipse_beta
tol	tolerance for absolute deviation in the ||beta||=1 constraint.

antiphon/Kdirectional documentation built on Feb. 13, 2023, 6:26 a.m.