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misPRIME

0.1.0

Partial Replacement Imputation Estimation for Missing Covariates

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Overview

About
Maintained by Zishu ZhanFirst published 2022-06-011 releasesCRAN page ↗

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.

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Health

CRAN checks
2NOTE11OK
Failing flavors
  • NOTE r-devel-linux-x86_64-debian-clang
  • NOTE r-devel-linux-x86_64-debian-gcc
Slowest check: 59 s · r-oldrel-windows-x86_64
Check history
  • NOTE2026-03-10
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

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Dependencies

Declared dependencies
1 external dependency (excludes base and recommended)
Depends (1)
R >= 2.10
Imports (4)
splinesquadprogMASSstats
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none
Suggests (0)
none
Enhances (0)
none
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Code & Tests

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People & History

People (3)
Maintainer (1)
Author, Maintainer
Authors (3)
Author, Maintainer
Package Timeline

1 release. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.0Latest
    2026-03-10 · current release
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2022-06-01
Total releases
1 / 4 yrs
License
GPL-3 OSI
Download size
18 KB
Installed size
not tracked yet
With dependencies
not tracked yet
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