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misPRIME  

Partial Replacement Imputation Estimation for Missing Covariates
View on CRAN: Click here


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

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

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



Attach the package and use:
library("misPRIME")
Maintained by
Zishu Zhan
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-06-01
Latest Update: 2022-06-01
Description:
Partial Replacement Imputation Estimation (PRIME) can overcome problems caused by missing covariates in additive partially linear model. PRIME conducts imputation and regression simultaneously with known and unknown model structure. More details can be referred to Zishu Zhan, Xiangjie Li and Jingxiao Zhang. (2022) .
How to cite:
Zishu Zhan (2022). misPRIME: Partial Replacement Imputation Estimation for Missing Covariates. R package version 0.1.0, https://cran.r-project.org/web/packages/misPRIME. Accessed 12 Nov. 2024.
Previous versions and publish date:
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Other packages that cited misPRIME R package
View misPRIME citation profile
Other R packages that misPRIME depends, imports, suggests or enhances
Complete documentation for misPRIME
Functions, R codes and Examples using the misPRIME R package
Some associated functions: PRIME . PRIME_SimuData . 
Some associated R codes: PRIME.R . PRIME.impute.R . PRIME.predict.R . PRIME_SimuData.R . tools.R . weight.R .  Full misPRIME package functions and examples
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