{ "_id": "6a1032ceacfb0bcc41c97c88", "Package": "DJL", "Type": "Package", "Title": "Distance Measure Based Judgment and Learning", "Version": "3.9", "Date": "2023-03-16", "Author": "Dong-Joon Lim, Ph.D. ", "Maintainer": "Dong-Joon Lim ", "Description": "Implements various decision support tools related to the\nEconometrics & Technometrics. Subroutines include correlation\nreliability test, Mahalanobis distance measure for outlier\ndetection, combinatorial search (all possible subset\nregression), non-parametric efficiency analysis measures: DDF\n(directional distance function), DEA (data envelopment\nanalysis), HDF (hyperbolic distance function), SBM (slack-based\nmeasure), and SF (shortage function), benchmarking, Malmquist\nproductivity analysis, risk analysis, technology adoption\nmodel, new product target setting, network DEA, dynamic DEA,\nintertemporal budgeting, etc.", "License": "GPL-2", "LazyData": "true", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-12 08:32:57 UTC", "User": "root" }, "Config/pak/sysreqs": "cmake make libicu-dev", "Repository": "https://tgno3.r-universe.dev", "Date/Publication": "2023-03-16 14:10:02 UTC", "RemoteUrl": "https://github.com/cran/DJL", "RemoteRef": "HEAD", "RemoteSha": "057a53eac20cb6857c7ebe38735d81f7390e0d12", "MD5sum": "af03c6a6a07860c22eb1b031eee15a24", "_user": 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