{
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  "Package": "HMMextra0s",
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  "Title": "Hidden Markov Models with Extra Zeros",
  "Version": "1.1.0",
  "Date": "2021-08-02",
  "Author": "Ting Wang, Wolfgang Hayek, and Alexander Pletzer",
  "Maintainer": "Ting Wang <ting.wang@otago.ac.nz>",
  "Description": "Contains functions for hidden Markov models with\nobservations having extra zeros as defined in the following two\npublications, Wang, T., Zhuang, J., Obara, K. and Tsuruoka, H.\n(2016) <doi:10.1111/rssc.12194>; Wang, T., Zhuang, J., Buckby,\nJ., Obara, K. and Tsuruoka, H. (2018)\n<doi:10.1029/2017JB015360>. The observed response variable is\neither univariate or bivariate Gaussian conditioning on\npresence of events, and extra zeros mean that the response\nvariable takes on the value zero if nothing is happening. Hence\nthe response is modelled as a mixture distribution of a\nBernoulli variable and a continuous variable. That is, if the\nBernoulli variable takes on the value 1, then the response\nvariable is Gaussian, and if the Bernoulli variable takes on\nthe value 0, then the response is zero too. This package\nincludes functions for simulation, parameter estimation,\ngoodness-of-fit, the Viterbi algorithm, and plotting the\nclassified 2-D data. Some of the functions in the package are\nbased on those of the R package 'HiddenMarkov' by David Harte.\nThis updated version has included an example dataset and R code\nexamples to show how to transform the data into the objects\nneeded in the main functions. We have also made changes to\nincrease the speed of some of the functions.",
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  "License": "GPL (>= 2)",
  "URL": "https://www.stats.otago.ac.nz/?people=ting_wang",
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    "hmm0norm2d",
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    "plotVitpath2d",
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      "page": "HMMextra0s-package",
      "title": "Hidden Markov Models with Extra Zeros Hidden Markov Models (HMMs) with Extra Zeros",
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        "HMMextra0s"
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      "page": "cumdist.hmm0norm",
      "title": "Cumulative distribution of an HMM with Extra Zeros",
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    },
    {
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      "title": "Parameter Estimation of an HMM with Extra Zeros",
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      "title": "Parameter Estimation of a bivariate HMM with Extra Zeros",
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