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Gaussian log-likelihood from residual sum of squares

Source: R/criterion.R
loglikelihood.Rd

Gaussian log-likelihood from residual sum of squares

Usage

loglikelihood(n, RSS, sd = NA)

Arguments

n

number of observations.

RSS

residual sum of squares (summed over both coordinates).

sd

optional known noise standard deviation. If NA (default), the noise variance is profiled out (concentrated log-likelihood), which is the branch used everywhere in CS.

Value

numeric log-likelihood value.