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DDPGPSurv (version 1.0)

DDP-GP Survival Analysis

Description

A nonparametric Bayesian approach to survival analysis. The functions perform inference via MCMC simulations from the posterior distributions for a Dependent Dirichlet Process-Gaussian Process prior. To maximize computational efficiency, some of the computations are performed in 'Rcpp'.

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Version

Install

install.packages('DDPGPSurv')

Monthly Downloads

1

Version

1.0

License

CC0

Maintainer

William Hua

Last Published

June 24th, 2018

Functions in DDPGPSurv (1.0)

DDPGPSurv-package

DDP-GP Survival Analysis Package
DDPGP_Haz

Posterior hazard function estimation using Gibbs MCMC results
DDPGP_meansurvival

Posterior mean survival estimation using Gibbs MCMC Outputs
mcmc_DDPGP

Gibbs Sampling MCMC function
simulate_data

Simulate data
DDPGP_Dens

Posterior density function estimation using MCMC results
DDPGP_Surv

Posterior survival function estimation using Gibbs MCMC results