Implementation of assumption-lean and data-adaptive post-prediction inference (POPInf), for valid and efficient statistical inference based on data predicted by machine learning. See Miao, Miao, Wu, Zhao, and Lu (2023) <doi:10.48550/arXiv.2311.14220>.
Version: 1.0.0 Depends: R (≥ 3.5.0) Imports: randomForest, MASS Published: 2024-02-20 DOI: 10.32614/CRAN.package.POPInf Author: Jiacheng Miao [aut, cre] Maintainer: Jiacheng Miao <jiacheng.miao at wisc.edu> License: GPL-3 URL: https://arxiv.org/abs/2311.14220, https://github.com/qlu-lab/POPInf NeedsCompilation: no Materials: README CRAN checks: POPInf results Documentation: Reference manual: POPInf.pdf Downloads: Package source: POPInf_1.0.0.tar.gz Windows binaries: r-devel: POPInf_1.0.0.zip, r-release: POPInf_1.0.0.zip, r-oldrel: POPInf_1.0.0.zip macOS binaries: r-release (arm64): POPInf_1.0.0.tgz, r-oldrel (arm64): POPInf_1.0.0.tgz, r-release (x86_64): POPInf_1.0.0.tgz, r-oldrel (x86_64): POPInf_1.0.0.tgz Linking:Please use the canonical form https://CRAN.R-project.org/package=POPInf to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4