Description: This package fits multiple variable mixtures of various parametric proportional hazard models using the EM-Algorithm. Proportionality restrictions can be imposed on the latent groups and/or on the variables. Several survival distributions can be specified. Missing values are allowed. Independence is assumed over the single variables.
Packaged: Fri Aug  3 20:53:34 2007; admin

Packaged: Sun May 25 13:18:05 2008; admin

Packaged: Fri Jun 27 04:59:39 2008; theussl

Description: This package fits multiple variable mixtures of various parametric proportional hazard models using the EM-Algorithm. Proportionality restrictions can be imposed on the latent groups and/or on the variables. Several survival distributions can be specified. Missing values and censored values are allowed. Independence is assumed over the single variables.
Imports: graphics, stats, survival, lattice

Title: Mixtures of Proportional Hazard Models
Description: Fits multiple variable mixtures of various parametric proportional hazard models using the EM-Algorithm. Proportionality restrictions can be imposed on the latent groups and/or on the variables. Several survival distributions can be specified. Missing values and censored values are allowed. Independence is assumed over the single variables.

Packaged: Tue Dec 16 12:13:42 2008; admin

Title: Finite Mixture Modeling for Raw and Binned Data
Authors@R: person("Youjiao", "Yu", email = "jiaoisjiao@gmail.com",
Description: Performs maximum likelihood estimation for finite mixture models for families including Normal, Weibull, Gamma and Lognormal by using EM algorithm, together with Newton-Raphson algorithm or bisection method when necessary. It also conducts mixture model selection by using information criteria or bootstrap likelihood ratio test. The data used for mixture model fitting can be raw data or binned data. The model fitting process is accelerated by using R package 'Rcpp'.
Imports: ggplot2 (>= 2.1.0), graphics, Rcpp (>= 0.12.8), stats

Imports: ggplot2 (>= 3.3.3), graphics, Rcpp (>= 1.0.6), stats
Suggests: rmarkdown, knitr, testthat (>= 3.0.0), mockery