| mixPHM-package {mixPHM} | R Documentation |
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 |
Author(s)
Patrick Mair, Marcus Hudec
Maintainer: Patrick Mair <mair@fas.harvard.edu>
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.