MAMSE (0.2-1)

0 users

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

http://cran.r-project.org/web/packages/MAMSE

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.

Maintainer: Jean-Francois Plante
Author(s): Jean-Francois Plante <jfplante@hec.ca>

License: GPL-2

Uses: Does not use any package

Released 6 months ago.


3 previous versions

Ratings

Overall:

  (0 votes)

Documentation:

  (0 votes)

Log in to vote.

Reviews

No one has written a review of MAMSE yet. Want to be the first? Write one now.


Related packages: BMA, BayHaz, DAAG, DPpackage, Epi, ICE, KMsurv, LearnBayes, LogicReg, MCMCpack, MLEcens, NADA, NestedCohort, SMPracticals, VGAM, aster, bayesSurv, boot, clinfun, cmprsk(20 best matches, based on common tags.)


Search for MAMSE on google, google scholar, r-help, r-devel.

Visit MAMSE on R Graphical Manual.