Depends: Rcpp (>= 0.12.4), truncdist, DPpackage (>= 1.1-7.4),

Description: Use Dirichlet process Weibull mixture model and dependent Dirichlet process Weibull mixture model for survival data with and without competing risks. Dirichlet process Weibull mixture model is used for data without covariates and dependent Dirichlet process model is used for regression data. The package is designed to handle exact/right-censored/ interval-censored observations without competing risks and exact/right-censored observations for data with competing risks. Inside each cluster of Dirichlet process, we assume a multiplicative effect of covariates as in Cox model and Fine and Gray model. For wrapper of the DPdensity function from the R package DPpackage (already archived by CRAN) that uses the Low Information Omnibus prior, please check (<https://github.com/mjmartens/DPdensity-wrapper-with-LIO-prior>).

Imports: truncdist, binaryLogic, prodlim, survival, Rcpp (>= 0.12.4)

Title: Differentially Private Statistical Analysis and Machine Learning
Author: Spencer Giddens <giddens2spencer@gmail.com> with contributions from Fang
Description: An implementation of common statistical analysis and models with
differential privacy (Dwork et al., 2006a) <doi:10.1007/11681878_14>
guarantees. The package contains, for example, functions providing
differentially private computations of mean, variance, median, histograms,
and contingency tables. It also implements some statistical models and
machine learning algorithms such as linear regression (Kifer et al., 2012)
<https://jmlr.org/papers/v12/chaudhuri11a.html>. In addition, it implements
such as the Laplace mechanism (Dwork et al., 2006a)

Package: DPpackage
Version: 1.0-0
Date: 2006-03-27
Title: Semiparametric Bayesian Analysis using Dirichlet process priors
Author: Alejandro Jara Vallejos <Alejandro.JaraVallejos@med.kuleuven.be>
Maintainer: Alejandro Jara Vallejos <Alejandro.JaraVallejos@med.kuleuven.be>
Description:
This package contains functions for posterior analysis for a number of
semiparametric statistical models. Simulation is done in compiled FORTRAN.
License: GPL version 2 or newer
URL: http://www.student.kuleuven.ac.be/%7Es0166452/software.html
Packaged: Thu May 18 13:33:41 2006; Alejandro