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_0.1.0.tgz(r-4.4-any)misPRIME_0.1.0.tgz(r-4.3-any)
misPRIME_0.1.0.tar.gz(r-4.5-noble)misPRIME_0.1.0.tar.gz(r-4.4-noble)
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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'))

Peer review:

Datasets:
  • PRIME_SimuData - Prime_SimuData An Example of Simulated Data for PRIME

On CRAN:

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

1.00 score 107 downloads 1 exports 2 dependencies

Last updated 2 years agofrom:caba371788. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 04 2024
R-4.5-winOKNov 04 2024
R-4.5-linuxOKNov 04 2024
R-4.4-winOKNov 04 2024
R-4.4-macOKNov 04 2024
R-4.3-winOKNov 04 2024
R-4.3-macOKNov 04 2024

Exports:PRIME

Dependencies:MASSquadprog