R/kernel.R

In bhklab/wCI: Modified Concordance Index

kernel_gaussian <- function(x, m=0.0002001131, s=0.0939948369){
  #dnorm(x, m, s)
  (1/sqrt(2*pi*s^2))*exp(-(x-m)^2/(2*s^2))
}
kernel_laplace <- function(x, m=-0.001785626, b=0.061982848){
  (1/(2*b)) * exp(-abs(x - m) / b)
}

# Parameters obtained from CTRPv2 data; write into function parameters
# Assume you already know the kernel because you're a badass
# Kernel learned from CTRPv2 data and assumed to generalize.
kernel_sigmoid <- function(x) {
  1/(1 + exp(-10.99319 * (x - 0.09631)))
}
find.original.name <- function(fun) {
  objects <- ls(envir = environment(fun))
  for (i in objects) {
    if (identical(fun, get(i, envir = environment(fun)))) {
      return(i)
    }
  }
}