{ "_id": "6a1be1291d7bb097a0a185f7", "Package": "conf", "Type": "Package", "Title": "Visualization and Analysis of Statistical Measures of Confidence", "Version": "1.9.3", "Authors@R": "c(person(\"Christopher\", \"Weld\", role = c(\"aut\", \"cre\"), email = \"ceweld241@gmail.com\", comment = c(ORCID = \"0000-0001-5902-9738\")), \nperson(\"Kexin\", \"Feng\", role = \"aut\"),\nperson(\"Hayeon\", \"Park\", role = \"aut\"),\nperson(\"Yuxin\", \"Qin\", role = \"aut\"),\nperson(\"Xingyu\", \"Wang\", role = \"aut\"),\nperson(\"Heather\", \"Krehbiel\", role = \"aut\"),\nperson(\"Lawrence\", \"Leemis\", role = \"aut\"),\nperson(\"Yuan\", \"Chang\", role = \"ctb\"),\nperson(\"Brock\", \"Crook\", role = \"ctb\"),\nperson(\"Chris\", \"Kuebler\", role = \"ctb\"),\nperson(\"Andrew\", \"Loh\", role = \"ctb\"),\nperson(\"Xin\", \"Zhang\", role = \"ctb\"))", "Maintainer": "Christopher Weld ", "Description": "Enables: (1) plotting two-dimensional confidence regions,\n(2) coverage analysis of confidence region simulations, (3)\ncalculating confidence intervals and the associated actual\ncoverage for binomial proportions, (4) calculating the support\nvalues and the probability mass function of the Kaplan-Meier\nproduct-limit estimator, and (5) plotting the actual coverage\nfunction associated with a confidence interval for the survivor\nfunction from a randomly right-censored data set. Each is given\nin greater detail next. (1) Plots the two-dimensional\nconfidence region for probability distribution parameters\n(supported distribution suffixes: cauchy, gamma, invgauss,\nlogis, llogis, lnorm, norm, unif, weibull) corresponding to a\nuser-given complete or right-censored dataset and level of\nsignificance. The crplot() algorithm plots more points in\nareas of greater curvature to ensure a smooth appearance\nthroughout the confidence region boundary. An alternative\nheuristic plots a specified number of points at roughly uniform\nintervals along its boundary. Both heuristics build upon the\nradial profile log-likelihood ratio technique for plotting\nconfidence regions given by Jaeger (2016)\n, and are detailed in a\npublication by Weld et al. (2019)\n. (2) Performs confidence\nregion coverage simulations for a random sample drawn from a\nuser- specified parametric population distribution, or for a\nuser-specified dataset and point of interest with coversim().\n(3) Calculates confidence interval bounds for a binomial\nproportion with binomTest(), calculates the actual coverage\nwith binomTestCoverage(), and plots the actual coverage with\nbinomTestCoveragePlot(). Calculates confidence interval bounds\nfor the binomial proportion using an ensemble of constituent\nconfidence intervals with binomTestEnsemble(). Calculates\nconfidence interval bounds for the binomial proportion using a\ncomplete enumeration of all possible transitions from one\nactual coverage acceptance curve to another which minimizes the\nroot mean square error for n <= 15 and follows the transitions\nfor well-known confidence intervals for n > 15 using\nbinomTestMSE(). (4) The km.support() function calculates the\nsupport values of the Kaplan-Meier product-limit estimator for\na given sample size n using an induction algorithm described in\nQin et al. (2023) . The\nkm.outcomes() function generates a matrix containing all\npossible outcomes (all possible sequences of failure times and\nright-censoring times) of the value of the Kaplan-Meier\nproduct-limit estimator for a particular sample size n. The\nkm.pmf() function generates the probability mass function for\nthe support values of the Kaplan-Meier product-limit estimator\nfor a particular sample size n, probability of observing a\nfailure h at the time of interest expressed as the cumulative\nprobability percentile associated with X = min(T, C), where T\nis the failure time and C is the censoring time under a\nrandom-censoring scheme. The km.surv() function generates\nmultiple probability mass functions of the Kaplan-Meier\nproduct-limit estimator for the same arguments as those given\nfor km.pmf(). (5) The km.coverage() function plots the actual\ncoverage function associated with a confidence interval for the\nsurvivor function from a randomly right-censored data set for\none or more of the following confidence intervals: Greenwood,\nlog-minus-log, Peto, arcsine, and exponential Greenwood. The\nactual coverage function is plotted for a small number of items\non test, stated coverage, failure rate, and censoring rate. The\nkm.coverage() function can print an optional table containing\nall possible failure/censoring orderings, along with their\ncontribution to the actual coverage function.", "License": "GPL (<= 2)", "Encoding": "UTF-8", "RoxygenNote": "7.3.2", "VignetteBuilder": "knitr", "Language": "en-US", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-31 07:16:56 UTC", "User": "root" }, "Author": "Christopher Weld [aut, cre] (ORCID:\n), Kexin Feng [aut],\nHayeon Park [aut], Yuxin Qin [aut], Xingyu Wang [aut], Heather\nKrehbiel [aut], Lawrence Leemis [aut], Yuan Chang [ctb], Brock\nCrook [ctb], Chris Kuebler [ctb], Andrew Loh [ctb], Xin Zhang\n[ctb]", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2026-03-02 15:40:02 UTC", "RemoteUrl": "https://github.com/cran/conf", "RemoteRef": "HEAD", "RemoteSha": "6c7092b42c0307294bbddc0d0be759839148a6b4", "MD5sum": "ed7c374b74c0d7c730aac1fd643726eb", "_user": "cran", "_type": "src", "_file": "conf_1.9.3.tar.gz", "_fileid": 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"author": "Christopher Weld ", "committer": "cran-robot ", "message": "version 1.9.3\n", "time": 1772466002 }, "_maintainer": { "name": "Christopher Weld", "email": "ceweld241@gmail.com", "orcid": "0000-0001-5902-9738" }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 4.0.0", "role": "Depends" }, { "package": "graphics", "role": "Imports" }, { "package": "stats", "role": "Imports" }, { "package": "statmod", "role": "Imports" }, { "package": "fitdistrplus", "role": "Imports" }, { "package": "pracma", "role": "Imports" }, { "package": "rootSolve", "role": "Imports" }, { "package": "utils", "role": "Imports" }, { "package": "knitr", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" } ], "_owner": "cran", "_selfowned": false, "_usedby": 0, "_updates": [ { "week": "2025-35", "n": 1 }, { "week": "2026-10", "n": 1 } ], "_tags": [ { "name": "1.9.2", "date": "2025-08-27" }, { "name": "1.9.3", "date": "2026-03-02" } ], "_stars": 0, "_contributors": [ { 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