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) <doi:10.48550/arXiv.2205.14994>.

Version:	0.1.0
Depends:	R (≥ 2.10)
Imports:	splines, quadprog, MASS, stats
Published:	2022-06-01
Author:	Zishu Zhan [aut, cre], Xiangjie Li [aut], Jingxiao Zhang [aut]
Maintainer:	Zishu Zhan <zishu927 at hotmail.com>
License:	GPL-3
NeedsCompilation:	no
CRAN checks:	misPRIME results

Documentation:

Reference manual:

misPRIME.pdf

Downloads:

Package source:	misPRIME_0.1.0.tar.gz
Windows binaries:	r-prerel: misPRIME_0.1.0.zip, r-release: misPRIME_0.1.0.zip, r-oldrel: misPRIME_0.1.0.zip
macOS binaries:	r-prerel (arm64): misPRIME_0.1.0.tgz, r-release (arm64): misPRIME_0.1.0.tgz, r-oldrel (arm64): misPRIME_0.1.0.tgz, r-prerel (x86_64): misPRIME_0.1.0.tgz, r-release (x86_64): misPRIME_0.1.0.tgz

Linking:

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