# priorResearch: Research for Prior In BayesianFROC: FROC Analysis by Bayesian Approaches

## Description

The autor investigates prior

## Usage

 1 priorResearch(z, m = 6, sd = 1, e = 0.01) 

## Arguments

 z a real number, indicating θ_c. m a real number, specifying the mean of signal Gaussian sd a real number, specifying the standard deviation of signal Gaussian e a positive real number, indicating ε.

## Value

A real, to investigate prior

μ + σ Φ^{-1}(1- ε + Φ( \frac{θ_{c} - μ }{σ} ) ) - Φ^{-1}( Φ( θ) \exp(ε ))

where, m =  μ, sd =  σ, z =  θ, e =  ε.

## Examples

  1 2 3 4 5 6 7 8 9 10 #======================================================================================== # From this plot, we can evaluate the minimum value of x such that # the value is negative. #======================================================================================== x <- runif(100,-1,3 ) # Syntheisze 100 smaples from Uniform(-1,3) y <- priorResearch(x) plot(x,y) 

BayesianFROC documentation built on Jan. 13, 2021, 5:22 a.m.