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MultiRobust  

Multiply Robust Methods for Missing Data Problems
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("MultiRobust", "1.0.5")



Attach the package and use:
library("MultiRobust")
Maintained by
Shixiao Zhang
[Scholar Profile | Author Map]
First Published: 2019-03-05
Latest Update: 2019-06-03
Description:
Multiply robust estimation for population mean (Han and Wang 2013) , regression analysis (Han 2014) (Han 2016) and quantile regression (Han et al. 2019) .
How to cite:
Shixiao Zhang (2019). MultiRobust: Multiply Robust Methods for Missing Data Problems. R package version 1.0.5, https://cran.r-project.org/web/packages/MultiRobust. Accessed 06 Apr. 2025.
Previous versions and publish date:
1.0.0 (2019-03-05 16:30), 1.0.1 (2019-03-13 06:37), 1.0.2 (2019-03-14 15:43), 1.0.3 (2019-03-15 10:05), 1.0.4 (2019-05-03 20:20)
Other packages that cited MultiRobust R package
View MultiRobust citation profile
Other R packages that MultiRobust depends, imports, suggests or enhances
Complete documentation for MultiRobust
Functions, R codes and Examples using the MultiRobust R package
Some associated functions: MR.mean . MR.quantile . MR.quantreg . MR.reg . glm.work . 
Some associated R codes: Full MultiRobust package functions and examples
Downloads during the last 30 days
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