smooth_pdf: Smooths a pdf
In exPrior: Prior Distributions Using a Bayesian Hierarchical Framework

Description Usage Arguments Value Examples

smooth_pdf smooths a pdf using convolution with a kernel

1	smooth_pdf(x, p_x)

`x`	a vector corresponding to values of a random variable X (length strictly greater than 1)
`p_x`	a vector containing the density of the RV X at locations `x`

The normalized pdf

x <- seq(from=-5,to=5,by=0.1)
p_x <- dnorm(x) + rnorm(length(x),mean=0,sd=0.02)
p_x <- pmax(p_x,0)
plot(x,p_x,type='l')
res <- smooth_pdf(x,p_x)
lines(x,res$p_x,col='red')