drmdel: Dual Empirical Likelihood Inference under Density Ratio Models in the Presence of Multiple Samples

Dual empirical likelihood (DEL) inference under semiparametric density ratio models (DRM) in the presence of multiple samples, including population cumulative distribution function estimation, quantile estimation and comparison, density estimation, composite hypothesis testing for DRM parameters which encompasses testing for changes in population distribution functions as a special case, etc.

Install the latest version of this package by entering the following in R:
install.packages("drmdel")
AuthorSong Cai
Date of publication2015-01-21 21:28:38
MaintainerSong Cai <scai@math.carleton.ca>
LicenseGPL-3
Version1.3.1

View on CRAN

Files

inst
inst/examples
inst/examples/examples.R
tests
tests/drmdelTest.R
src
src/drmdel.c
src/basisFuncs.c
src/Makevars
src/utilities.h
src/utilities.c
src/basisFuncs.h
src/Makevars.win
NAMESPACE
R
R/drmdel.R
MD5
DESCRIPTION
ChangeLog
man
man/meleCov.Rd man/summaryDRM.Rd man/quantileDRM.Rd man/quantileCompWald.Rd man/cdfDRM.Rd man/densityDRM.Rd man/drmdel.Rd
Hadoop Online Training by Edureka

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.