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gldrm  

Generalized Linear Density Ratio Models
View on CRAN: Click here


Download and install gldrm package within the R console
Install from CRAN:
install.packages("gldrm")

Install from Github:
library("remotes")
install_github("cran/gldrm")

Install by package version:
library("remotes")
install_version("gldrm", "1.6")



Attach the package and use:
library("gldrm")
Maintained by
Michael Wurm
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-06-28
Latest Update: 2024-01-24
Description:
Fits a generalized linear density ratio model (GLDRM). A GLDRM is a semiparametric generalized linear model. In contrast to a GLM, which assumes a particular exponential family distribution, the GLDRM uses a semiparametric likelihood to estimate the reference distribution. The reference distribution may be any discrete, continuous, or mixed exponential family distribution. The model parameters, which include both the regression coefficients and the cdf of the unspecified reference distribution, are estimated by maximizing a semiparametric likelihood. Regression coefficients are estimated with no loss of efficiency, i.e. the asymptotic variance is the same as if the true exponential family distribution were known. Huang (2014) . Huang and Rathouz (2012) . Rathouz and Gao (2008) .
How to cite:
Michael Wurm (2017). gldrm: Generalized Linear Density Ratio Models. R package version 1.6, https://cran.r-project.org/web/packages/gldrm. Accessed 06 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:44), 1.1 (2017-06-28 08:01), 1.4 (2017-12-06 10:58), 1.5 (2018-04-13 09:58)
Other packages that cited gldrm R package
View gldrm citation profile
Other R packages that gldrm depends, imports, suggests or enhances
Complete documentation for gldrm
Functions, R codes and Examples using the gldrm R package
Some associated functions: beta.control . f0.control . getBeta . getTheta . getf0 . gldrm.control . gldrm . gldrmCI . gldrmFit . gldrmLRT . gldrmPIT . predict.gldrm . print.gldrm . print.gldrmCI . print.gldrmLRT . theta.control . 
Some associated R codes: getBeta.R . getTheta.R . getf0.R . gldrm.R . gldrmCI.R . gldrmFit.R . gldrmLRT.R . gldrmPIT.R . predict-gldrm.R . print-gldrm.R .  Full gldrm package functions and examples
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