{ "_id": "6a17dcc9acfb0bcc41d9c6a1", "Package": "ComRiskModel", "Type": "Package", "Title": "Fitting of Complementary Risk Models", "Version": "0.2.0", "Date": "2023-05-14", "Authors@R": "c(\nperson( \"Muhammad\", \"Imran\", role = c(\"aut\", \"cre\"), email = \"imranshakoor84@yahoo.com\" ),\nperson(\"M.H\", \"Tahir\", role = \"aut\", email = \"mht@iub.edu.pk\"))", "Author": "Muhammad Imran [aut, cre], M.H Tahir [aut]", "Maintainer": "Muhammad Imran ", "Description": "Evaluates the probability density function (PDF),\ncumulative distribution function (CDF), quantile function (QF),\nrandom numbers and maximum likelihood estimates (MLEs) of\nwell-known complementary binomial-G, complementary negative\nbinomial-G and complementary geometric-G families of\ndistributions taking baseline models such as exponential,\nextended exponential, Weibull, extended Weibull, Fisk, Lomax,\nBurr-XII and Burr-X. The functions also allow computing the\ngoodness-of-fit measures namely the\nAkaike-information-criterion (AIC), the\nBayesian-information-criterion (BIC), the minimum value of the\nnegative log-likelihood (-2L) function, Anderson-Darling (A)\ntest, Cramer-Von-Mises (W) test, Kolmogorov-Smirnov test,\nP-value and convergence status. Moreover, some commonly used\ndata sets from the fields of actuarial, reliability, and\nmedical science are also provided. Related works include: a)\nTahir, M. H., & Cordeiro, G. M. (2016). Compounding of\ndistributions: a survey and new generalized classes. 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