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: 2022-06-01 07:38:51 UTC; treer
Author: Zishu Zhan [aut, cre],
  Xiangjie Li [aut],
  Jingxiao Zhang [aut]
Repository: CRAN
Date/Publication: 2022-06-01 13:00:02 UTC
Built: R 4.6.0; ; 2026-04-25 20:25:58 UTC; unix
