Package: DebiasInfer 0.2

DebiasInfer: Efficient Inference on High-Dimensional Linear Model with Missing Outcomes

A statistically and computationally efficient debiasing method for conducting valid inference on the high-dimensional linear regression function with missing outcomes. The reference paper is Zhang, Giessing, and Chen (2023) <arxiv:2309.06429>.

Authors:Yikun Zhang [aut, cre], Alexander Giessing [aut], Yen-Chi Chen [aut]

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Peer review:

Bug tracker:https://github.com/zhangyk8/debias-infer/issues

On CRAN:

5 exports 0.23 score 85 dependencies 164 downloads

Last updated 11 months agofrom:41108ed379. Checks:OK: 7. Indexed: yes.

Exports:DebiasProgDebiasProgCVDualCDDualObjSoftThres

Dependencies:bitbit64caretclarabelclasscliclockcodetoolscolorspacecpp11CVXRdata.tablediagramdigestdplyre1071ECOSolveRfansifarverforeachfuturefuture.applygenericsggplot2globalsgluegmpgowergtablehardhatipredisobanditeratorsKernSmoothlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixmgcvModelMetricsmunsellnlmennetnumDerivosqpparallellypillarpkgconfigplyrpROCprodlimprogressrproxypurrrR6RColorBrewerRcppRcppEigenrecipesreshape2rlangRmpfrrpartscalesscsshapeSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsviridisLitewithr