as_dist.mle_fit         Convert an MLE to a distribution object.
as_dist.mle_fit_boot    Convert a bootstrap MLE to an empirical
                        distribution.
bias                    Generic method for computing the bias of an
                        estimator object.
bias.mle_fit            Computes the bias of an 'mle_fit' object
                        assuming the large sample approximation is
                        valid and the MLE regularity conditions are
                        satisfied. In this case, the bias is zero (or
                        zero vector).
bias.mle_fit_boot       Computes the estimate of the bias of a
                        'mle_fit_boot' object.
cdf.mle_fit             CDF of the asymptotic distribution of an MLE.
coef.mle_fit            Extract coefficients from an 'mle_fit' object.
combine                 Combine independent MLEs for the same
                        parameter.
conditional.mle_fit     Conditional distribution from an MLE.
confint.mle_fit         Function to compute the confidence intervals of
                        'mle_fit' objects.
confint.mle_fit_boot    Method for obtained the confidence interval of
                        an 'mle_fit_boot' object. Note: This
                        impelements the 'vcov' method defined in
                        'stats'.
confint_from_sigma      Function to compute the confidence intervals
                        from a variance-covariance matrix
density.mle_fit         PDF of the asymptotic distribution of an MLE.
density.mle_fit_boot    PDF of the empirical distribution of bootstrap
                        replicates.
dim.mle_fit             Dimension (number of parameters) of an MLE.
dim.mle_fit_boot        Dimension (number of parameters) of a bootstrap
                        MLE.
expectation.mle_fit     Expectation operator applied to 'x' of type
                        'mle_fit' with respect to a function 'g'. That
                        is, 'E(g(x))'.
inv_cdf.mle_fit         Quantile function of the asymptotic
                        distribution of an MLE.
is_mle                  Determine if an object 'x' is an 'mle_fit'
                        object.
is_mle_boot             Determine if an object is an 'mle_fit_boot'
                        object.
joint                   Compose independent MLEs into a joint MLE.
logLik.mle_fit          Log-likelihood of an 'mle_fit' object.
marginal.mle_fit        Method for obtaining the marginal distribution
                        of an MLE that is based on asymptotic
                        assumptions:
mean.mle_fit            Mean of the asymptotic distribution of an MLE.
mean.mle_fit_boot       Mean of bootstrap replicates.
mle                     Constructor for making 'mle_fit' objects, which
                        provides a common interface for maximum
                        likelihood estimators.
mle_boot                Bootstrapped MLE
mle_numerical           This function takes the output of 'optim',
                        'newton_raphson', or 'sim_anneal' and turns it
                        into an 'mle_fit_numerical' (subclass of
                        'mle_fit') object.
mse                     Generic method for computing the mean squared
                        error (MSE) of an estimator, 'mse(x) =
                        E[(x-mu)^2]' where 'mu' is the true parameter
                        value.
mse.mle_fit             Computes the MSE of an 'mle_fit' object.
mse.mle_fit_boot        Computes the estimate of the MSE of a 'boot'
                        object.
nobs.mle_fit            Method for obtaining the number of observations
                        in the sample used by an 'mle_fit'.
nobs.mle_fit_boot       Method for obtaining the number of observations
                        in the sample used by an 'mle_fit_boot'.
nparams.mle_fit         Method for obtaining the number of parameters
                        of an 'mle_fit' object.
nparams.mle_fit_boot    Method for obtaining the number of parameters
                        of an 'boot' object.
obs.mle_fit             Method for obtaining the observations used by
                        the 'mle_fit' object 'x'.
obs.mle_fit_boot        Method for obtaining the observations used by
                        the 'mle_fit_boot'.
observed_fim            Generic method for computing the observed FIM
                        of an 'mle_fit' object.
observed_fim.mle_fit    Function for obtaining the observed FIM of an
                        'mle_fit' object.
orthogonal              Generic method for determining the orthogonal
                        parameters of an estimator.
orthogonal.mle_fit      Method for determining the orthogonal
                        components of an 'mle_fit' object 'x'.
params.mle_fit          Method for obtaining the parameters of an
                        'mle_fit' object.
params.mle_fit_boot     Method for obtaining the parameters of an
                        'boot' object.
pred                    Generic method for computing the predictive
                        confidence interval given an estimator object
                        'x'.
pred.mle_fit            Estimate of predictive interval of 'T|data'
                        using Monte Carlo integration.
print.mle_fit           Print method for 'mle_fit' objects.
print.summary_mle_fit   Function for printing a 'summary' object for an
                        'mle_fit' object.
rmap.mle_fit            Computes the distribution of 'g(x)' where 'x'
                        is an 'mle_fit' object.
sampler.mle_fit         Method for sampling from an 'mle_fit' object.
sampler.mle_fit_boot    Method for sampling from an 'mle_fit_boot'
                        object.
score_val               Generic method for computing the score of an
                        estimator object (gradient of its
                        log-likelihood function evaluated at the MLE).
score_val.mle_fit       Computes the score of an 'mle_fit' object
                        (score evaluated at the MLE).
se                      Generic method for obtaining the standard
                        errors of an estimator.
se.mle_fit              Function for obtaining an estimate of the
                        standard error of the MLE object 'x'.
summary.mle_fit         Function for obtaining a summary of 'object',
                        which is a fitted 'mle_fit' object.
sup.mle_fit             Support of the asymptotic distribution of an
                        MLE.
vcov.mle_fit            Computes the variance-covariance matrix of
                        'mle_fit' object.
vcov.mle_fit_boot       Computes the variance-covariance matrix of
                        'boot' object. Note: This impelements the
                        'vcov' method defined in 'stats'.
