{ "_id": "6ab0fd013d719c1f840856ff", "Package": "gpciLindleyApprox", "Type": "Package", "Title": "Lindley Approximation Method for Generalized Process Capability\nIndices", "Version": "0.1.0", "Authors@R": "c(\nperson(\"Shikhar\", \"Tyagi\",\nemail = \"shikhar1093tyagi@gmail.com\",\nrole = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0003-1606-0844\")),\nperson(\"Sumit\", \"Kumar\",\nemail = \"stats.sumitbhal@gmail.com\",\nrole = \"aut\"),\nperson(\"Arvind\", \"Pandey\",\nemail = \"arvindmzu@gmail.com\",\nrole = \"aut\"),\nperson(\"Bhupendra\", \"Singh\",\nemail = \"bhupendra.rana@gmail.com\",\nrole = \"aut\"),\nperson(\"Vrijesh\", \"Tripathi\",\nemail = \"vrijesh.tripathi@uwi.edu\",\nrole = \"aut\")\n)", "Description": "Provides a comprehensive framework for estimating\nGeneralized Process Capability Indices (GPCIs) using the\nLindley approximation method for uncensored data under Bayesian\ninference. Evaluates point estimates and posterior expectations\nfor classical and non-normal capability indices, including Cpy\n(Maiti et al., 2010), Spmk (Dey & Saha, 2019), CpTk (Saha et\nal., 2019), Cpc (Saha et al., 2022), CNpmc (Alotaibi et al.,\n2022), CNpmkc (Saha et al., 2024), CNpk (Saha et al., 2018),\nand Vannman's Cp(u,v) family. Computes parametric and\nnon-parametric bootstrap confidence intervals at 90%, 95%, and\n99% levels of significance. Supports MCMC chain generation with\nburn-in and thinning, Highest Posterior Density (HPD)\nintervals, Bias, MSE, Risk values, and Heidelberger and Welch's\nMCMC Convergence Diagnostic with convergence probabilities.\nReferences: Lindley (1980) , Maiti, Saha &\nNanda (2010) , Saha, Dey &\nMaiti (2018) , Dey & Saha\n(2019) , Saha, Dey & Maiti\n(2019), Alotaibi, Dey & Saha (2022) ,\nSaha, Dey & Nadarajah (2022)\n, Saha, Tripathi & Dey\n(2024) .", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "RoxygenNote": "7.3.3", "VignetteBuilder": "knitr", "Config/testthat/edition": "3", "NeedsCompilation": "no", "Packaged": { "Date": "2026-09-21 09:43:11 UTC", "User": "root" }, "Author": "Shikhar Tyagi [aut, cre] (ORCID:\n), Sumit Kumar [aut],\nArvind Pandey [aut], Bhupendra Singh [aut], Vrijesh Tripathi\n[aut]", "Maintainer": "Shikhar Tyagi ", "Repository": "https://shikhartyagi.r-universe.dev", "Date/Publication": "2026-08-21 12:50:25 UTC", "RemoteUrl": "https://github.com/cran/gpciLindleyApprox", "RemoteRef": "HEAD", "RemoteSha": "9fcde1534074a68bf68a4c4d36dbac7a3547938d", "_user": "shikhartyagi", "_type": "src", "_file": "gpciLindleyApprox_0.1.0.tar.gz", "_fileid": "https://r2.ropensci.org/d2ea09d940ced61cc2e3d75c3a75492eb7711d40058ae4b018b754fd73933009", "_filesize": 160173, "_sha256": "d2ea09d940ced61cc2e3d75c3a75492eb7711d40058ae4b018b754fd73933009", "_expires": "2026-12-30T09:46:39.000Z", "_created": "2026-09-21T09:43:11.000Z", "_published": "2026-09-21T09:46:41.386Z", "_jobs": [ { "job": 106285771269, "time": 139, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "10630884500" }, { "job": 106285771217, "time": 134, "config": "linux-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "10632100214" }, { "job": 106285771213, "time": 123, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "10631459857" }, { "job": 106285771349, "time": 90, "config": "macos-release-arm64", "r": "4.6.1", "check": "OK", "artifact": "10632000537" }, { "job": 106284723625, "time": 216, "config": "source", "r": "4.6.1", "check": "OK", "artifact": "10631728987" }, { "job": 106285771175, "time": 113, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "10631614569" }, { "job": 106285771347, "time": 86, "config": "windows-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "10631604528" }, { "job": 106285771319, "time": 71, "config": "windows-oldrel-x86_64", "r": "4.5.3", "check": "OK", "artifact": "10631898378" }, { "job": 106285771304, "time": 84, "config": "windows-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "10631034012" } ], "_host": "GitHub-Actions", "_buildurl": "https://github.com/r-universe/shikhartyagi/actions/runs/35584517273", "_status": "success", "_upstream": "https://github.com/cran/gpciLindleyApprox", "_commit": { "id": "9fcde1534074a68bf68a4c4d36dbac7a3547938d", "author": "Shikhar Tyagi ", "committer": "cran-robot ", "message": "version 0.1.0\n", "time": 1787316625 }, "_maintainer": { "name": "Shikhar Tyagi", "email": "shikhar1093tyagi@gmail.com", "login": "shikhartyagi", "description": "Lecturer, Department of Mathematics and Statistics, The University of the West Indies, Trinidad and Tobago. ", "uuid": 38758495, "orcid": "0000-0003-1606-0844" }, "_distro": "resolute", "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 4.0.0", "role": "Depends" }, { "package": "stats", "role": "Imports" }, { "package": "graphics", "role": "Imports" }, { "package": "ggplot2", "role": "Imports" }, { "package": "numDeriv", "role": "Imports" }, { "package": "boot", "role": "Imports" }, { "package": "testthat", "version": ">= 3.0.0", "role": "Suggests" }, { "package": "knitr", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" } ], "_owner": "cran", "_selfowned": true, "_usedby": 0, "_updates": [ { "week": "2026-34", "n": 1 } ], "_tags": [ { "name": "0.1.0", "date": "2026-08-21" } ], "_stars": 0, "_contributors": [ { "user": "shikhartyagi", "count": 1, "uuid": 38758495 } ], "_userbio": { "uuid": 38758495, "type": "user", "name": "shikhartyagi", "followers": 0, "description": "Lecturer, Department of Mathematics and Statistics, The University of the West Indies, Trinidad and Tobago. " }, "_downloads": { "count": 277, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/gpciLindleyApprox" }, "_searchresults": 0, "_rbuild": "4.6.1", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/gpciLindleyApprox.html", "extra/manual.pdf", "LICENSE" ], "_realowner": "shikhartyagi", "_cranurl": false, "_releases": [ { "version": "0.1.0", "date": "2026-08-21" } ], "_exports": [ "bootstrap_gpci", "capability", "define_distribution", "dist_exponentiated_exponential", "dist_gamma", "dist_logistic_exponential", "dist_normal", "dist_weibull", "fit_distribution", "gpci_lindley", "heidelberger_welch", "hpd_interval", "lindley_approx", "lindley_gpci" ], "_help": [ { "page": "bootstrap_gpci", "title": "Parametric and Non-Parametric Bootstrap Confidence Intervals for GPCIs", "topics": [ "bootstrap_gpci" ] }, { "page": "capability", "title": "Compute Generalized Process Capability Indices (GPCIs)", "topics": [ "capability" ] }, { "page": "define_distribution", "title": "Define a Process Probability Distribution Object", "topics": [ "define_distribution" ] }, { "page": "dist_exponentiated_exponential", "title": "Built-in Exponentiated-Exponential Distribution for GPCI", "topics": [ "dist_exponentiated_exponential" ] }, { "page": "dist_gamma", "title": "Built-in Gamma Distribution for GPCI", "topics": [ "dist_gamma" ] }, { "page": "dist_logistic_exponential", "title": "Built-in Logistic-Exponential Distribution for GPCI", "topics": [ "dist_logistic_exponential" ] }, { "page": "dist_normal", "title": "Built-in Normal Distribution for GPCI", "topics": [ "dist_normal" ] }, { "page": "dist_weibull", "title": "Built-in Weibull Distribution for GPCI", "topics": [ "dist_weibull" ] }, { "page": "fit_distribution", "title": "Fit Probability Distribution to Uncensored Data", "topics": [ "fit_distribution" ] }, { "page": "gpci_lindley", "title": "High-Level User Interface Function for Lindley Approximation GPCI Analysis", "topics": [ "gpci_lindley" ] }, { "page": "heidelberger_welch", "title": "Heidelberger and Welch's MCMC Convergence Diagnostic", "topics": [ "heidelberger_welch" ] }, { "page": "hpd_interval", "title": "Highest Posterior Density (HPD) Interval Calculation", "topics": [ "hpd_interval" ] }, { "page": "lindley_approx", "title": "Lindley Approximation Method for Parameter and GPCI Bayesian Point Estimation", "topics": [ "lindley_approx" ] }, { "page": "lindley_gpci", "title": "Lindley Approximation MCMC-Style Chain Generator for GPCIs", "topics": [ "lindley_gpci" ] }, { "page": "plot.gpciLindleyApprox", "title": "Plot Visualizations for gpciLindleyApprox Objects", "topics": [ "plot.gpciLindleyApprox" ] }, { "page": "summary.gpciLindleyApprox", "title": "Summary and Diagnostics for gpciLindleyApprox Objects", "topics": [ "summary.gpciLindleyApprox" ] } ], "_rundeps": [ "boot", "cli", "cpp11", "farver", "ggplot2", "glue", "gtable", "isoband", "labeling", "lifecycle", "numDeriv", "R6", "RColorBrewer", "rlang", "S7", "scales", "vctrs", "viridisLite", "withr" ], "_vignettes": [ { "source": "gpciLindleyApprox.Rmd", "filename": "gpciLindleyApprox.html", "title": "Lindley Approximation Method for Generalized Process Capability Indices", "engine": "knitr::rmarkdown", "headings": [ "Introduction", "Basic Example with Custom PDF/CDF", "Using Built-in Distribution Objects", "References" ], "created": "2026-08-21 12:50:25", "modified": "2026-08-21 12:50:25", "commits": 1 } ], "_score": 2, "_indexed": true, "_nocasepkg": "gpcilindleyapprox", "_universes": [ "shikhartyagi" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "0.1.0", "date": "2026-09-21T09:45:23.000Z", "distro": "resolute", "commit": "9fcde1534074a68bf68a4c4d36dbac7a3547938d", "fileid": "https://r2.ropensci.org/e16dba42cfdb95d75e8d478850dbc31b4dc184740be873f626fcd35ce5cef14b", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/shikhartyagi/actions/runs/35584517273" }, { "r": "4.6.1", "os": "linux", "version": "0.1.0", "date": "2026-09-21T09:45:21.000Z", "distro": "resolute", "commit": "9fcde1534074a68bf68a4c4d36dbac7a3547938d", "fileid": "https://r2.ropensci.org/b07dc80b1f0b15dfdcfefa2702c46d8ba3724159be2cddf6d77cd17a8a454ca6", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/shikhartyagi/actions/runs/35584517273" }, { "r": "4.5.3", "os": "mac", "version": "0.1.0", "date": "2026-09-21T09:45:12.000Z", "commit": "9fcde1534074a68bf68a4c4d36dbac7a3547938d", "fileid": "https://r2.ropensci.org/ca567353dc0e88c78fd8c13f7b46775655beb41cc88d6937beb3bbe7630e8896", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/shikhartyagi/actions/runs/35584517273" }, { "r": "4.6.1", "os": "mac", "version": "0.1.0", "date": "2026-09-21T09:44:43.000Z", "commit": "9fcde1534074a68bf68a4c4d36dbac7a3547938d", "fileid": "https://r2.ropensci.org/8f4f71905a9d910bea4aed83cfb9ac950150255ccc8549be016dcd71e6942934", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/shikhartyagi/actions/runs/35584517273" }, { "r": "4.6.0", "os": "wasm", "version": "0.1.0", "date": "2026-09-21T09:45:20.000Z", "commit": "9fcde1534074a68bf68a4c4d36dbac7a3547938d", "fileid": "https://r2.ropensci.org/27e4e1c3be09cd8faed411fbaeb99e8e115244333c4747e3fa0b75c149cd7829", "status": "success", "buildurl": "https://github.com/r-universe/shikhartyagi/actions/runs/35584517273" }, { "r": "4.7.0", "os": "win", "version": "0.1.0", "date": "2026-09-21T09:44:13.000Z", "commit": "9fcde1534074a68bf68a4c4d36dbac7a3547938d", "fileid": "https://r2.ropensci.org/dffb491fa7e5c6aa24c3ec432bb400f07760d1ae0cbc4a4ac2ce6541c08c7f61", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/shikhartyagi/actions/runs/35584517273" }, { "r": "4.5.3", "os": "win", "version": "0.1.0", "date": "2026-09-21T09:44:11.000Z", "commit": "9fcde1534074a68bf68a4c4d36dbac7a3547938d", "fileid": "https://r2.ropensci.org/5366fe638812cd199a8754a9aef84d14be9decf8cade27bf2fa2d64893ade8fa", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/shikhartyagi/actions/runs/35584517273" }, { "r": "4.6.1", "os": "win", "version": "0.1.0", "date": "2026-09-21T09:44:18.000Z", "commit": "9fcde1534074a68bf68a4c4d36dbac7a3547938d", "fileid": "https://r2.ropensci.org/92777c29d549baf2243d2c7d499037b4f92ec4c93f89a4744f1ec17b19bcca4b", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/shikhartyagi/actions/runs/35584517273" } ] }