dtn function

Truncated Normal Distribution Density

Calculate density of Truncated Normal distributions

dtn(.x = 0, .mean = rep(0, length(.x)), .sd = rep(1, length(.x)),
  .low = rep(-Inf, length(.x)), .high = rep(Inf, length(.x)),
  .checks = TRUE)

Arguments

• .x: Length K vector of the points at which to evaluate the density
• .mean: Length K vector with the means of the K Normal distributions prior to truncation
• .sd: Length K vector with the standard deviations of the K Normal distributions prior to truncation
• .low: Length K vector with the lower truncation bound of the K Normal distributions prior to truncation
• .high: Length K vector with the upper truncation bound of the K Normal distributions prior to truncation
• .checks: Logical indicating whether inputs and outputs should be checked and either stop (for bad inputs) or warn (for likely bad outputs)

Returns

Length K vector with the entropies associated with each of the K Truncated Normal distributions

Examples

lows <- c(-1, 5, -100, 4, 4, -100, 7)
highs <- c(1, 100, 10, 7, 4.1, 100, 100)
dtn(.x = rep(0, length(lows)),
    .mean = rep(0, length(lows)),
    .sd = rep(1, length(lows)),
    .high = highs
    )

Author(s)

Jonathan Olmsted