expectedCost {BookEKM}R Documentation

Expected cost

Description

Calculates expected costs, Section 8.1.2, by an asymptotic approach

Usage

expectedCost(mu.1.log, sd.1.log, mu.2.log, sd.2.log, n, L.L = 1/10000, L.H = 10000, odds = 1, c.D = 0.1)

Arguments

mu.1.log

Expected value of log(X1)

sd.1.log

Standard deviation of log(X1)

mu.2.log

Expected value of log(X2)

sd.2.log

Standard deviation of log(X2)

n

Number of markers assumed iid

L.L

Lower bound

L.H

Upper bound

odds

Prior odds

c.D

Cost of aqcuiring data

Value

p1

First probability in formula for V

p2

Second probability in formula for V

p3

Third probability in formula for V

p4

Fourth probability in formula for V

ExpectedCost

Expected cost

Author(s)

Thore Egeland <Thore.Egeland@nmbu.no>

Examples

require(Familias)
data(NorwegianFrequencies)
p <- as.double(NorwegianFrequencies[1][[1]])
L <- length(p)
m <- LRmoments2(p, kappaP = c(0.5,0.5,0), kappaD = c(1,0,0), 
                logg = TRUE)$moments[c(1,3,5,7)]
m <- as.double(m)
expectedCost(m[1], m[2],m[3], m[4], n=25, 
             L.L=1/100, L.H =100, odds = 1 , c.D = 0.1)

[Package BookEKM version 1.0 Index]