convexHaz-package {convexHaz} | R Documentation |
This package contains functions to compute the nonparametric maximum likelihood estimator (MLE) and the nonparametric least squares estimator (LSE) of a convex hazard function, assuming that the data is IID.
Package: | convexHaz |
Version: | 0.2 |
Date: | 2008-11-07 |
Depends: | R (>= 2.4) |
License: | GPL (version 2 or later) |
Built: | R 2.7.1; ; 2008-11-07 13:05:46; windows |
Index:
convexLSE Compute the nonparamateric LSE of a convex hazard convexMLE Compute the nonparametric MLE of a convex hazard hazard Create a hazard function (and its integral) given its support and mixing measure. srLSE Compute the LSE of a convex hazard with fixed antimode srMLE Compute the MLE of a convex hazard with fixed antimode
Hanna Jankowski, Ivy Wang, Hugh McCague, Jon A. Wellner
Maintainer: Hanna Jankowski <hkj@mathstat.yorku.ca>
Groeneboom, Jongbloed and Wellner (2008). The support reduction algorithm for computing nonparametric function estimates in mixture models. Scan. J. Statist. 35, 385–399.
Jankowski and Wellner (2007). Nonparametric estimation of a convex bathtub-shaped hazard function. Technical Report 521, Department of Statistics, University of Washington.
Jankowski and Wellner (2008). Computation of nonparametric convex hazard estimators via profile methods. Technical Report 542, Department of Statistics, University of Washington.