Sum log-likelihoods of Gaussian.

Source: R/RcppExports.R

This is an internal function that is only exposed on the public API for unit testing purposes.

sumDnorm(x, mean, sd)

Arguments

x

Vector of i.i.d. Gaussian random varibles
mean

Vector of means
sd

Vector of standard deviations

Value

log-likelihood of x

Details

The sum of the log-likelihoods (log of the product of the likelihoods) for independent, identically-distributed, Gaussian random variables. Note: this Rcpp function is thread-safe, unlike the equivalent alternatives.

See also

sum(dnorm(x, mean, sd, log=TRUE))

Examples

  x <- rnorm(100)
  mu <- rep(0,length(x))
  sd <- rep(1,length(x))
  sumDnorm(x,mu,sd)
#> [1] -136.3695