Package: POPInf 1.0.0

Jiacheng Miao

POPInf: Assumption-Lean and Data-Adaptive Post-Prediction Inference

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) <arxiv:2311.14220>.

Authors:Jiacheng Miao [aut, cre]

POPInf_1.0.0.tar.gz
POPInf_1.0.0.zip(r-4.5)POPInf_1.0.0.zip(r-4.4)POPInf_1.0.0.zip(r-4.3)
POPInf_1.0.0.tgz(r-4.4-any)POPInf_1.0.0.tgz(r-4.3-any)
POPInf_1.0.0.tar.gz(r-4.5-noble)POPInf_1.0.0.tar.gz(r-4.4-noble)
POPInf_1.0.0.tgz(r-4.4-emscripten)POPInf_1.0.0.tgz(r-4.3-emscripten)
POPInf.pdf |POPInf.html✨
POPInf/json (API)

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Peer review:

Bug tracker:https://github.com/qlu-lab/popinf/issues

On CRAN:

12 exports 1 stars 0.84 score 2 dependencies 281 downloads

Last updated 7 months agofrom:6177791fef. Checks:OK: 1 NOTE: 6. Indexed: yes.

Exports:Aest_inilink_gradlink_Hessianmean_psimean_psi_popoptim_estoptim_weightspop_MpsiSigma_calsim_data

Dependencies:MASSrandomForest