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 |
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. |
simulate_data | Function to simulate survival data from a mixture of normal distribution. |
sim_data | Simulated lognormal mixture data. |
survival_ln_mixture | Lognormal mixture model - Gibbs sampler |
survival_ln_mixture.default | Lognormal mixture model - Gibbs sampler |
survival_ln_mixture.formula | Lognormal mixture model - Gibbs sampler |
survival_ln_mixture_em | Lognormal mixture model - Expectation-Maximization Algorithm |
survival_ln_mixture_em.default | Lognormal mixture model - Expectation-Maximization Algorithm |
survival_ln_mixture_em.formula | 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). |