{ "_id": "6a49666b3c3572b93bf7f0f4", "Package": "hhsmm", "Date": "2022-2-7", "Title": "Hidden Hybrid Markov/Semi-Markov Model Fitting", "Version": "0.2.5", "Authors@R": "c(person(\"Morteza\", \"Amini\", role = c(\"aut\", \"cre\",\"cph\"),\nemail = \"morteza.amini@ut.ac.ir\"),\nperson(\"Afarin\", \"Bayat\", role = \"aut\"),\nperson(\"Reza\", \"Salehian\", role = \"aut\"))", "Description": "Develops algorithms for fitting, prediction, simulation\nand initialization of the hidden hybrid Markov/semi-Markov\nmodel, introduced by Guedon (2005)\n, which also includes several\ntools for handling missing data, nonparametric mixture of\nB-splines emissions (Langrock et al., 2015\n), fitting regime switching regression\n(Kim et al., 2008 ) and\nauto-regressive hidden hybrid Markov/semi-Markov model, and\nmany other useful tools (read for more description:\n).", "License": "GPL-3", "RdMacros": "Rdpack", "Encoding": "UTF-8", "BugReports": "https://github.com/mortamini/hhsmm/issues", "Roxygen": 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