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NMMIPW  

Inverse Probability Weighting under Non-Monotone Missing
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("NMMIPW", "0.1.0")



Attach the package and use:
library("NMMIPW")
Maintained by
Andrew Ying
[Scholar Profile | Author Map]
First Published: 2021-12-20
Latest Update: 2021-12-20
Description:
We fit inverse probability weighting estimator and the augmented inverse probability weighting for non-monotone missing at random data.
How to cite:
Andrew Ying (2021). NMMIPW: Inverse Probability Weighting under Non-Monotone Missing. R package version 0.1.0, https://cran.r-project.org/web/packages/NMMIPW. Accessed 01 May. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited NMMIPW R package
View NMMIPW citation profile
Other R packages that NMMIPW depends, imports, suggests or enhances
Complete documentation for NMMIPW
Functions, R codes and Examples using the NMMIPW R package
Some associated functions: PS . link_func . link_func_grad . link_func_grad_vec . link_func_vec . nmm_fit . nmm_preprocessing . prop_compute . regress_fit . summary.NMMIPW . 
Some associated R codes: auxiliary.R . nmmipw.R . zzz.R .  Full NMMIPW package functions and examples
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