Bayesian Mixture Log-Normal Survival Model

---

Documentation for package ‘lnmixsurv’ version 3.1.6

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

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).