MLE of the (mu,var) parameter vector when we assume the sample is i.i.d. and drawn from the normal distribution.

Of course, the draws are unlikely to be normal, but the normal distribution is often a good model. Hypothesis testing, such as relative likelihoods, can be used to assess the appropriateness of the normal model to the data.

Usage

mle_normal(x, keep_obs = TRUE)

Arguments

x

a sample of observations

keep_obs

whether to store observations in `mle_normal` object

Value

an `mle` object.