{ "_id": "6a3a529c6265ec60d620f1aa", "Package": "SQIpro", "Type": "Package", "Title": "Comprehensive Soil Quality Index Computation and Visualization", "Version": "0.1.0", "Authors@R": "c(\nperson(\"Sadikul\", \"Islam\", email = \"sadikul.islamiasri@gmail.com\", role = c(\"aut\", \"cre\"), comment = c(ORCID = \"0000-0003-2924-7122\")),\nperson(\"Rajesh\", \"Kaushal\", role = \"aut\"))", "Description": "Provides a comprehensive, modular framework for computing\nthe Soil Quality Index (SQI) using six established methods:\nLinear Scoring (Doran and Parkin, 1994,\n), Regression-based (Masto et\nal., 2008, ), Principal\nComponent Analysis-based (Andrews et al., 2004,\n), Fuzzy Logic, Entropy Weighting\n(Shannon, 1948, ), and\nTOPSIS (Hwang and Yoon, 1981, ).\nImplements four variable scoring functions: more-is-better,\nless-is-better, optimum-value, and trapezoidal, following\nKarlen and Stott (1994, ).\nIncludes automated Minimum Data Set selection via Principal\nComponent Analysis with Variance Inflation Factor filtering\n(Kaiser, 1960, ), one-way ANOVA\nwith Tukey HSD post-hoc tests, leave-one-out sensitivity\nanalysis, and publication-quality visualization using\n'ggplot2'.", "License": "GPL (>= 3)", "Encoding": "UTF-8", "Language": "en-US", "LazyData": "true", "LazyDataCompression": "xz", "RoxygenNote": "7.3.3", "VignetteBuilder": "knitr", "Config/testthat/edition": "3", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-23 09:28:09 UTC", "User": "root" }, "Author": "Sadikul Islam [aut, cre] (ORCID:\n), Rajesh Kaushal [aut]", "Maintainer": "Sadikul Islam ", "Config/pak/sysreqs": "cmake make libicu-dev libuv1-dev", "Repository": "https://sadikulislamiasri-hub.r-universe.dev", "Date/Publication": "2026-04-20 14:16:55 UTC", "RemoteUrl": "https://github.com/cran/SQIpro", "RemoteRef": "HEAD", "RemoteSha": "0919c7b28d4187009b54fd7b23c4829c2263ebeb", "MD5sum": "2c1fe4a77042257fbbc2c28ed2512915", "_user": "sadikulislamiasri-hub", "_type": "src", "_file": 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