Created
January 4, 2019 01:13
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Shiny app for exploring posterior distributions given surprising data
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library(shiny) | |
# Define UI for application that draws a histogram | |
ui <- fluidPage( | |
# Application title | |
titlePanel("Bayesian Surprise"), | |
# Sidebar with a slider input for number of bins | |
sidebarLayout( | |
sidebarPanel( | |
sliderInput("obs", | |
"Observed value", | |
min = 0, | |
max = 20, | |
value = 15), | |
selectInput(inputId = "prior", label = strong("Prior"), | |
choices = c("Cauchy","Normal","Laplace","t_5","t_30","logistic"), | |
selected = "Cauchy"), | |
selectInput(inputId = "likelihood", label = strong("Likelihood"), | |
choices = c("Cauchy","Normal","Laplace","t_5","t_30","logistic"), | |
selected = "Normal") | |
), | |
# Show a plot of the generated distribution | |
mainPanel( | |
plotOutput("distPlot") | |
) | |
) | |
) | |
# Define server logic required to draw a histogram | |
server <- function(input, output) { | |
XLIM<-20 | |
output$distPlot <- renderPlot({ | |
prior<-(switch(input$prior, | |
Cauchy=quote(dcauchy(x)), | |
Normal=quote(dnorm(x)), | |
Laplace=quote(dexp(abs(x),1)), | |
t_5=quote(dt(x,5)), | |
t_30=quote(dt(x,30)), | |
logistic=quote(dlogis(x)))) | |
likelihood<-(switch(input$likelihood, | |
Cauchy=quote(dcauchy(input$obs-x)), | |
Normal=quote(dnorm(input$obs-x)), | |
Laplace=quote(dexp(abs(input$obs-x),1)), | |
t_5=quote(dt(input$obs-x,5)), | |
t_30=quote(dt(input$obs-x,30)), | |
logistic=quote(dlogis(input$obs-x)))) | |
# generate bins based on input$bins from ui.R | |
eval(bquote(curve(.(likelihood)*.(prior),from=-2, to=XLIM+2,ylab="Posterior",xlab="x"))) | |
abline(v=0,col="purple",lty=2) | |
abline(v=input$obs,col="green") | |
}) | |
} | |
# Run the application | |
shinyApp(ui = ui, server = server) | |
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