MAMSE: Calculation of Minimum Averaged Mean Squared Error (MAMSE) weights.

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This package 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.

Author
Jean-Francois Plante <jfplante@hec.ca>
Date of publication
2013-06-27 17:01:14
Maintainer
Jean-Francois Plante <jfplante@hec.ca>
License
GPL-2
Version
0.1-3

View on CRAN

Man pages

KM
Functions for use by WKME.
MAMSE
Minimum Averaged Mean Squared Error Weights
MAMSE-package
Minimum Averaged Mean Squared Error (MAMSE) Weights.
MAMSEpo
Functions for use by MAMSE.
ranked
Function used by MAMSE to transform the data into rescaled...
WKME
Kaplan-Meier Estimate

Files in this package

MAMSE
MAMSE/MD5
MAMSE/src
MAMSE/src/MAMSE.c
MAMSE/man
MAMSE/man/ranked.Rd
MAMSE/man/WKME.Rd
MAMSE/man/MAMSEpo.Rd
MAMSE/man/MAMSE.Rd
MAMSE/man/MAMSE-package.Rd
MAMSE/man/KM.Rd
MAMSE/R
MAMSE/R/MAMSE.R
MAMSE/NAMESPACE
MAMSE/DESCRIPTION
MAMSE/ChangeLog