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  "Title": "Goodness-of-Fit Tests for Complete, Progressively Type-II,\nType-I Hybrid, and Type-II Hybrid Censored Data",
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  "Description": "Provides goodness-of-fit tests for lifetime data collected\nunder complete sampling, progressive Type-II censoring, and\nType-I/Type-II hybrid censoring schemes. Users supply the\nobserved (censored) data and the assumed probability\ndensity/mass function, cumulative distribution function, or\nsurvival function of the target model, and the package returns\nthe corresponding test statistic together with an asymptotic or\nMonte Carlo p-value. Implements the spacings-based\nexponentiality test of Balakrishnan, Ng and Kannan (2002, in\n\"Goodness-of-Fit Tests and Model Validity\", Birkhauser, pp.\n89-111) and its location-scale generalization Balakrishnan, Ng\nand Kannan (2004) <doi:10.1109/TR.2004.833317>, the power\ncomparison and Kaplan-Meier based tests of Doering and Cramer\n(2019) <doi:10.1080/00949655.2019.1648468>, the\nKolmogorov-Smirnov type tests for hybrid censored data of\nBanerjee and Pradhan (2018)\n<doi:10.1080/03610926.2016.1205616>, and follows the unified\ntreatment of hybrid censoring schemes reviewed in Balakrishnan\nand Kundu (2013) <doi:10.1016/j.csda.2012.03.025> and in Cramer\nand Balakrishnan (2023, \"Hybrid Censoring Know-How\", Chapter\n11) <doi:10.1016/B978-0-12-398387-9.00019-2>.",
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