{ "_id": "6a197cbaacfb0bcc41df675d", "Package": "hdm", "Type": "Package", "Title": "High-Dimensional Metrics", "Version": "0.3.1", "Date": "2018-12-19", "Authors@R": "c(person(\"Martin\", \"Spindler\", email=\"martin.spindler@gmx.de\", role=c(\"cre\", \"aut\")), person(\"Victor\", \"Chernozhukov\", role=\"aut\"), person(\"Christian\", \"Hansen\", role=\"aut\"), person(\"Philipp\", \"Bach\", email = \"philipp.bach@uni-hamburg.de\", role=\"ctb\"))", "Description": "Implementation of selected high-dimensional statistical\nand econometric methods for estimation and inference. Efficient\nestimators and uniformly valid confidence intervals for various\nlow-dimensional causal/ structural parameters are provided\nwhich appear in high-dimensional approximately sparse models.\nIncluding functions for fitting heteroscedastic robust Lasso\nregressions with non-Gaussian errors and for instrumental\nvariable (IV) and treatment effect estimation in a\nhigh-dimensional setting. Moreover, the methods enable valid\npost-selection inference and rely on a theoretically grounded,\ndata-driven choice of the penalty. Chernozhukov, Hansen,\nSpindler (2016) .", "License": "MIT + file LICENSE", "LazyData": "TRUE", "VignetteBuilder": "knitr", "RoxygenNote": "7.1.1", "Repository": "https://martinspindler.r-universe.dev", "Date/Publication": "2021-01-22 15:29:14 UTC", "RemoteUrl": "https://github.com/martinspindler/hdm", "RemoteRef": "HEAD", "RemoteSha": "51557106c20501459b3520810a2897eaccc4c33c", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-29 10:36:58 UTC", "User": "root" }, "Author": "Martin Spindler [cre, aut],\nVictor Chernozhukov [aut],\nChristian Hansen [aut],\nPhilipp Bach [ctb]", "Maintainer": "Martin Spindler ", "MD5sum": "f7d6410597c712ad2352b261fb4b2c98", "_user": "martinspindler", "_type": "src", "_file": "hdm_0.3.1.tar.gz", "_fileid": "4f80d4a2138d3d761c435bce06dc43aed1d81e5d9ad368ee0d2e09e17382b5cf", "_filesize": 2150069, "_sha256": "4f80d4a2138d3d761c435bce06dc43aed1d81e5d9ad368ee0d2e09e17382b5cf", "_created": "2026-05-29T10:36:58.000Z", "_published": 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