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  "Title": "Bayesian Unit Root Test for AR(1) Model with Trend Approximated\nby Linear Spline Function",
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  "Authors@R": "c(\nperson(\"Shikhar\", \"Tyagi\", email = \"shikhar1093tyagi@gmail.com\", role = c(\"aut\", \"cre\"), comment = c(ORCID = \"0000-0003-1606-0844\")),\nperson(\"Arvind\", \"Pandey\", email = \"arvindmzu@gmail.com\", role = \"aut\"),\nperson(\"Bhupendra\", \"Singh\", email = \"bhupendra.rana@gmail.com\", role = \"aut\"),\nperson(\"Vrijesh\", \"Tripathi\", email = \"vrijesh.tripathi@uwi.edu\", role = \"aut\")\n)",
  "Description": "Performs Bayesian unit root testing for autoregressive\ntime series models with non-linear trend components\napproximated by linear spline functions, as proposed by Kumar\net al. (2020) <doi:10.19139/soic-2310-5070-786>. The package\n'BayesSplineUR' computes posterior odds ratios, Bayes factors,\nand posterior probabilities for the unit root hypothesis\nagainst trend-stationary alternatives in models with linear\nspline trends or maintained polynomial trends as developed by\nChaturvedi and Kumar (2005) <doi:10.1016/j.spl.2005.04.044>.\nIncludes automatic knot selection using information criteria\n(AIC/BIC) and theoretical foundations for Bayesian unit root\ntesting under structural breaks and maintained trends drawing\nfrom Schotman and van Dijk (1991)\n<doi:10.1016/0304-4076(91)90038-F>, Phillips and Perron (1988)\n<doi:10.1093/biomet/75.2.335>, Ouliaris et al. (1988)\n<doi:10.1007/978-94-009-2953-1_10>, and Perron (1989)\n<doi:10.2307/1913683>.",
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      "title": "Bayesian Unit Root Test for AR(1) Model with Linear Spline Trend",
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        "kumar_spline_test"
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