Bayesian Mixture Log-Normal Survival Model


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Documentation for package ‘lnmixsurv’ version 3.1.6

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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).