augment.survival_ln_mixture
                        Augment data with information from a
                        survival_ln_mixture object
augment.survival_ln_mixture_em
                        Augment data with information from a
                        survival_ln_mixture_em object
fit_metrics             Function used to calculate some distance
                        metrics between the predicted survival and the
                        observed survival. 'fit_metrics()' is used to
                        calculate distance metrics between empirical
                        and fitted survival for a predictions object,
                        preferably the object $preds returned from
                        'plot_fit_on_data()'.
join_empirical_hazard   Function used to join the empirical hazard to
                        the data
nobs.survival_ln_mixture
                        Extract the number of observations from
                        'survival_ln_mixture' fit.
plot.survival_ln_mixture_em
                        Visualizes the path of the EM algorithm
plot_fit_on_data        Function used to quick visualize the fitted
                        values (survival estimate) on the data used to
                        fit the model (via EM algorithm or Gibbs).
predict.survival_ln_mixture
                        Predict from a Lognormal Mixture Model
predict.survival_ln_mixture_em
                        Predict from a lognormal_em Mixture Model
                        fitted using EM algorithm.
sim_data                Simulated lognormal mixture data.
simulate_data           Function to simulate survival data from a
                        mixture of normal distribution.
survival_ln_mixture     Lognormal mixture model - Gibbs sampler
survival_ln_mixture_em
                        Lognormal mixture model -
                        Expectation-Maximization Algorithm
tidy.survival_ln_mixture
                        Tidying method for a Lognormal Mixture model.
tidy.survival_ln_mixture_em
                        Tidying method for a Lognormal Mixture model
                        (fitted via Expectation-Maximization
                        algorithm).
