triplot.normal.knownvariance {blmeco}

Draw prior, data and posterior for a known variance normal distribution example

Description

The function draws a normal prior distribution, the data and the posterior distribution in one plot. It serves as a tool to explore the influence of different prior on a hypotehtical set of normally distributed data

Usage

triplot.normal.knownvariance(theta.data, variance.known, n, prior.theta, prior.variance, 
legend = TRUE, ylim = c(0, max(yposterior)), legend.bty="n")

Arguments

theta.data

mean of the data

variance.known

known variance

n

sample size

prior.theta

mean of the prior distribution

prior.variance

variance of the prior distribution

legend

logical, if TRUE (default) a legend is drawn

ylim

ylim of the plot

legend.bty

box type of legend

Author(s)

Fraenzi Korner-Nievergelt

References

Gelman, A., J. B. Carlin, H. S. Stern and D. B. Rubin (2004). Bayesian Data Analysis. New York, Chapman & Hall/CRC.

See Also

dnorm

Examples

triplot.normal.knownvariance(theta.data=10, n=20, variance.known=5, 
   prior.theta=0, prior.variance=100)