R Graphical Manual

Last data update: 2014.03.03

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R Release (3.2.3)
CranContrib
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Results 1 - 6 of 6 found.
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ranked (Package: MAMSE) : Function used by link{MAMSE

Functions used by MAMSE to convert the data into rescaled ranks. By default, ranked=function(x){ rank(x)/(length(x)+1) }. The user can redefine the function according to other rescalings.

● Data Source: CranContrib
● Keywords: MAMSE, copula, nonparametric
● Alias: ranked
● 0 images

WKME (Package: MAMSE) : Kaplan-Meier Estimate

Computes the weighted Kaplan-Meier estimate over some time points with optional confidence intervals.

● Data Source: CranContrib
● Keywords: nonparametric, survival
● Alias: WKME
● 1 images

MAMSEpo (Package: MAMSE) : Functions for use by MAMSE.

Functions used by MAMSE to compute the MAMSE weights.

● Data Source: CranContrib
● Keywords: multivariate, nonparametric, survival, univar
● Alias: MAMSEmulti, MAMSEmultipo, MAMSEsurv, MAMSEsurvpo, MAMSEuni, MAMSEunipo
● 0 images

MAMSE (Package: MAMSE) : Minimum Averaged Mean Squared Error Weights

Computes the MAMSE weights (see references below for their definition).

● Data Source: CranContrib
● Keywords: multivariate, nonparametric, survival, univar
● Alias: MAMSE
● 0 images

MAMSE-package (Package: MAMSE) :

This package provides algorithms to calculate the nonparametric adaptive MAMSE weights. The MAMSE weights can be used for the weighted likelihood (see references below), or as mixing probabilities to define mixtures of empirical distributions. They provide a framework to borrow strenght with minimal assumptions.

● Data Source: CranContrib
● Keywords: multivariate, nonparametric, package, survival, univar
● Alias: MAMSE-package
● 1 images

KM (Package: MAMSE) : Functions for use by WKME.

Functions used by WKME to compute the MAMSE-weighted Kaplan-Meier estimate.

● Data Source: CranContrib
● Keywords: nonparametric, survival
● Alias: KM, bootx, csum, dS, wvar
● 0 images