# credIntNum: Calculate a credible interval from a numerically specified... In Bolstad2: Bolstad functions

## Description

Calculates a lower, upper, or two-sided credible interval from the numerical posterior CDF.

## Usage

 1 credIntNum(theta, cdf, conf = 0.95, type="twosided") 

## Arguments

 theta the values over which the the posterior CDF is specified cdf the values of the CDF, F(θ) = \int_{-∞}^{θ}f(t).df where f(t) is the PDF. conf the desired 'confidence' level type the type of interval to return, 'lower' = one sided lower bound, 'two-sided' = two - sided, or 'upper' = one sided upper bound. It is sufficient to use 'l','t' or 'u'

## Details

This function uses linear interpolation to calculate bounds for points that may not be specified by CDF

## Value

a list containing the elements lower.bound, uppper.bound or both depending on type

## Examples

  1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 ## commands for calculating a numerical posterior CDF. ## In this example, the likelihood is proportional to ## \eqn{\theta^{3/2}\times \exp(-\theta/4)} and a N(6, 9) prior is used. theta <- seq(from = 0.001, to = 40, by = 0.001) prior <- dnorm(theta,6,3) ppnLike <- theta^1.5*exp(-theta/4) ppnPost <- prior*ppnLike scaleFactor <- sintegral(theta, ppnPost)$int posterior <- ppnPost/scaleFactor cdf <- sintegral(theta, posterior)$y ci<-credIntNum(theta, cdf) par(mfrow=c(2,2)) plot(prior ~ theta, type = 'l', main = "Prior N(6, 9)") plot(ppnLike ~ theta, type = 'l', main = "Proportional likelihood") plot(posterior ~ theta, type = 'l', main = "Posterior") abline(v=c(unlist(ci))) 

Bolstad2 documentation built on May 29, 2017, 3:35 p.m.