Package: misPRIME
Type: Package
Title: Partial Replacement Imputation Estimation for Missing Covariates
Version: 0.1.0
Authors@R: c(
    person(given = "Zishu",
           family = "Zhan",
           role = c("aut", "cre"),
           email = "zishu927@hotmail.com"),
    person(given = "Xiangjie",
           family = "Li",
           role = "aut",
           email = "ele717@163.com"),
    person(given = "Jingxiao",
           family = "Zhang",
           role = "aut",
           email = "zhjxiao@ruc.edu.cn")
    )
Maintainer: Zishu Zhan <zishu927@hotmail.com>
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) <arXiv:2205.14994>.
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.1.2
Imports: splines, quadprog, MASS, stats
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: no
Packaged: 2026-10-03 08:38:38 UTC; root
Author: Zishu Zhan [aut, cre], Xiangjie Li [aut], Jingxiao Zhang [aut]
Repository: https://treerlikesu.r-universe.dev
Date/Publication: 2022-06-01 12:00:02 UTC
RemoteUrl: https://github.com/cran/misPRIME
RemoteRef: HEAD
RemoteSha: caba371788eef41aa8473057233e49d5dce6398d