ProbBayes (version 1.1)

normal_update: Updates a Normal Prior with Normal Data

Description

Finds the parameters of the normal posterior with normal data and a normal prior

Usage

normal_update(prior, data, teach=FALSE)

Arguments

prior

vector with components mean and sd of the normal prior

data

vector with components the sample mean and the standard error of the estimate

teach

logical variable indicating the form of the output

Value

If teach = TRUE, returns data frame that displays the mean, precision, and standard deviation for the prior, data, and posterior. If teach = FALSE, returns a vector with mean and standard deviation of the posterior.

Examples

# NOT RUN {
  prior <- c(100, 10)
  data <- c(110, 15)
  normal_update(prior, data)
  normal_update(prior, data, teach=TRUE)
# }