The $mle() method is only available for CmdStanMLE objects. It returns the penalized maximum likelihood estimate (posterior mode) as a numeric vector with one element per variable. The returned vector does not include lp__, the total log probability (target) accumulated in the model block of the Stan program, which is available via the $lp() method and also included in the $draws() method.

mle(variables = NULL)

Arguments

variables

(character vector) The variables (parameters, transformed parameters, and generated quantities) to include. If NULL (the default) then all variables are included.

Value

A numeric vector. See Examples.

See also

Examples

# \dontrun{ fit <- cmdstanr_example("logistic", method = "optimize")
#> Model executable is up to date!
fit$mle("alpha")
#> alpha #> 0.364448
fit$mle("beta")
#> beta[1] beta[2] beta[3] #> -0.631556 -0.258966 0.648501
fit$mle("beta[2]")
#> beta[2] #> -0.258966
# }