Package index • lnmixsurv

All functions

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).