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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 |
| DOI: | 10.32614/CRAN.package.misPRIME |
| 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 |
| Reference manual: | misPRIME.pdf |
| Package source: | misPRIME_0.1.0.tar.gz |
| Windows binaries: | r-devel: misPRIME_0.1.0.zip, r-release: misPRIME_0.1.0.zip, r-oldrel: misPRIME_0.1.0.zip |
| macOS binaries: | r-release (arm64): misPRIME_0.1.0.tgz, r-oldrel (arm64): misPRIME_0.1.0.tgz, r-release (x86_64): misPRIME_0.1.0.tgz, r-oldrel (x86_64): misPRIME_0.1.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.