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mreg  

Fits Regression Models When the Outcome is Partially Missing
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("mreg", "1.2.1")



Attach the package and use:
library("mreg")
Maintained by
Simon Bond
[Scholar Profile | Author Map]
First Published: 2013-11-13
Latest Update: 2022-04-11
Description:
Implements the methods described in Bond S, Farewell V, 2006, Exact Likelihood Estimation for a Negative Binomial Regression Model with Missing Outcomes, Biometrics.
How to cite:
Simon Bond (2013). mreg: Fits Regression Models When the Outcome is Partially Missing. R package version 1.2.1, https://cran.r-project.org/web/packages/mreg. Accessed 01 Apr. 2025.
Previous versions and publish date:
1.1 (2013-11-13 15:35), 1.2.0 (2022-04-11 16:12)
Other packages that cited mreg R package
View mreg citation profile
Other R packages that mreg depends, imports, suggests or enhances
Complete documentation for mreg
Functions, R codes and Examples using the mreg R package
Some associated functions: densityfn . form.add . mreg . mreg_package . paper . print.mreg . public . randfn . summary.mreg . unity . 
Some associated R codes: chop.R . densityfn.R . family.dim.R . form.add.R . invlinkfn.R . linkfn.R . logLik.R . logLik2.R . minimand.R . minimand2.R . mreg.R . mreg_package.R . paper.R . print.mreg.R . public.R . randfn.R . summary.mreg.R . unity.R .  Full mreg package functions and examples
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