mixPHM (version 0.7-2)

mixPHM-package: Mixtures of proportional hazard models

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 and censored values are allowed. Independence is assumed over the single variables.

Details

Package:

mixPHM

Type:

Package

Version:

0.7-2

Date:

2015-07-23

License:

GPL-2

References

Mair, P., and Hudec, M. (2009). Multivariate Weibull mixtures with proportional hazard restrictions for dwell time based session clustering with incomplete data. Journal of the Royal Statistical Society, Series C (Applied Statistics), 58(5), 619-639.

Kalbfleisch, J.D., and Prentice, R.L. (1980). The statistical analysis of failure time data. New York: Wiley.

Celaux, G., and Govaert, G. (1992). A classification EM algorithm for clustering and two stochastic versions. Computational Statistics and Data Analysis, 14, 315-332.