Learn R Programming

MAMSE (version 0.2-1)

Calculation of Minimum Averaged Mean Squared Error (MAMSE) Weights

Description

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.

Copy Link

Version

Install

install.packages('MAMSE')

Monthly Downloads

40

Version

0.2-1

License

GPL-2

Maintainer

Jean-Francois Plante

Last Published

January 7th, 2017

Functions in MAMSE (0.2-1)

MAMSEpo

Functions for use by MAMSE.
MAMSE

Minimum Averaged Mean Squared Error Weights
KM

Functions for use by WKME.
ranked

Function used by MAMSE to transform the data into rescaled ranks.
MAMSE-package

Minimum Averaged Mean Squared Error (MAMSE) Weights.
Progesterone

Data sets: Progesterone level for detecting ectopic pregnancies and natural abortions.
roc

Receiver Operating Characteristic (ROC) Curves