AUTO_VI-cash-likelihood_ratio: Compute the likelihood ratio using the simulated result

In autovi: Auto Visual Inference with Computer Vision Models

Compute the likelihood ratio using the simulated result

Description

This function estimates the likelihood of observing the visual signal strength in terms of the bootstrapped distribution and the simulated null distribution, and computes the ratio between these two likelihood.

Usage

AUTO_VI$likelihood_ratio(
  vss = self$check_result$observed$vss,
  dist_1 = self$check_result$boot$vss,
  dist_2 = self$check_result$null$vss
)

Arguments

vss	Numeric. The observed visual signal strength.
dist_1	Numeric. A vector of visual signal strength for plots following the first distribution (bootstrap distribution by default).
dist_2	Numeric. A vector of visual signal strength for plots following the second distribution (null distribution by default).

Value

A named vector with three elements likelihood_1, likelihood_2 and likelihood_ratio.

Examples

dist_1 <- rnorm(100, 0, 1)
dist_2 <- rnorm(100, 1, 1)
AUTO_VI$likelihood_ratio(0, dist_1, dist_2)

autovi documentation built on April 3, 2025, 11:04 p.m.