Package: misPRIME 0.1.0

misPRIME: Partial Replacement Imputation Estimation for Missing Covariates

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) <arxiv:2205.14994>.

Authors:Zishu Zhan [aut, cre], Xiangjie Li [aut], Jingxiao Zhang [aut]

misPRIME_0.1.0.tar.gz
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misPRIME.pdf |misPRIME.html
misPRIME/json (API)

# Install 'misPRIME' in R:
install.packages('misPRIME', repos = c('https://treerlikesu.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • PRIME_SimuData - Prime_SimuData An Example of Simulated Data for PRIME

On CRAN:

Conda-Forge:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 127 downloads 1 exports 2 dependencies

Last updated 3 years agofrom:caba371788. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 04 2025
R-4.5-winOKMar 04 2025
R-4.5-macOKMar 04 2025
R-4.5-linuxOKMar 04 2025
R-4.4-winOKMar 04 2025
R-4.4-macOKMar 04 2025
R-4.4-linuxOKMar 04 2025
R-4.3-winOKMar 04 2025
R-4.3-macOKMar 04 2025

Exports:PRIME

Dependencies:MASSquadprog