{ "_id": "6ac3819fafd9914e452d38bf", "Package": "CompRiskRel", "Type": "Package", "Title": "Reliability and Competing Risks Analysis under Hybrid Censoring", "Version": "0.1.0", "Authors@R": "c(\nperson(given = \"Shikhar\",\nfamily = \"Tyagi\",\nrole = c(\"aut\", \"cre\"),\nemail = \"shikhar1093tyagi@gmail.com\",\ncomment = c(ORCID = \"0000-0003-1606-0844\")),\nperson(given = \"Arvind\",\nfamily = \"Pandey\",\nrole = \"aut\",\nemail = \"arvindmzu@gmail.com\"),\nperson(given = \"Bhupendra\",\nfamily = \"Singh\",\nrole = \"aut\",\nemail = \"bhupendra.rana@gmail.com\"),\nperson(given = \"Vrijesh\",\nfamily = \"Tripathi\",\nrole = \"aut\",\nemail = \"vrijesh.tripathi@uwi.edu\"))", "Description": "Generalized computational algorithms for competing risks\nanalysis, stress-strength reliability modeling, optimal\ndesigns, and reliability acceptance sampling plans under\nvarious hybrid censoring schemes. Includes data generation\nroutines, Maximum Likelihood Estimation (MLE) with seven\noptimization algorithms ('Newton-Raphson', 'BFGS', 'BFGSR',\n'BHHH', 'SANN', 'CG', and 'Nelder-Mead'), Bayesian inference\nvia Gibbs sampling and Metropolis-Hastings MCMC, Importance\nSampling, and 'Lindley' asymptotic approximation. Visualization\nfunctions generate histograms, dot plots, and autocorrelation\nplots for model validation. 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