MAMSE: Calculation of Minimum Averaged Mean Squared Error (MAMSE) Weights

Calculates the nonparametric adaptive MAMSE weights for univariate, right-censored or multivariate data. The MAMSE weights can be used in a weighted likelihood or to define a mixture of empirical distribution functions. The package includes functions for the MAMSE weighted Kaplan-Meier estimate and for MAMSE weighted ROC curves.

Version: 0.2-1
Depends: R (≥ 2.4.0)
Published: 2017-01-07
Author: Jean-Francois Plante
Maintainer: Jean-Francois Plante <jfplante at hec.ca>
License: GPL-2
NeedsCompilation: yes
Materials: ChangeLog
In views: Survival
CRAN checks: MAMSE results

Downloads:

Reference manual: MAMSE.pdf
Package source: MAMSE_0.2-1.tar.gz
Windows binaries: r-devel: MAMSE_0.2-1.zip, r-release: MAMSE_0.2-1.zip, r-oldrel: MAMSE_0.2-1.zip
OS X El Capitan binaries: r-release: MAMSE_0.2-1.tgz
OS X Mavericks binaries: r-oldrel: MAMSE_0.2-1.tgz
Old sources: MAMSE archive

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