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  "Title": "Directed Acyclic Graph HMM with TAN Structured Emissions",
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  "Description": "Hidden Markov models (HMMs) are a formal foundation for\nmaking probabilistic models of linear sequence. They provide a\nconceptual toolkit for building complex models just by drawing\nan intuitive picture. They are at the heart of a diverse range\nof programs, including genefinding, profile searches, multiple\nsequence alignment and regulatory site identification. HMMs are\nthe Legos of computational sequence analysis. In graph theory,\na tree is an undirected graph in which any two vertices are\nconnected by exactly one path, or equivalently a connected\nacyclic undirected graph. Tree represents the nodes connected\nby edges. It is a non-linear data structure. A poly-tree is\nsimply a directed acyclic graph whose underlying undirected\ngraph is a tree. The model proposed in this package is the same\nas an HMM but where the states are linked via a polytree\nstructure rather than a simple path.",
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  "Author": "Prajwal Bende [aut, cre], Russ Greiner [ths], Pouria Ramazi\n[ths]",
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    "initHMM",
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    {
      "page": "backward",
      "title": "Infer the backward probabilities for all the nodes of the dagHMM",
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        "backward"
      ]
    },
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        "baumWelch"
      ]
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      "title": "Implementation of the Baum Welch Algorithm as a special case of EM algorithm",
      "topics": [
        "baumWelchRecursion"
      ]
    },
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      "title": "Calculate the order in which nodes in the dag should be traversed during the backward pass(leaves to roots)",
      "topics": [
        "bwd_seq_gen"
      ]
    },
    {
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      "title": "Calculating the probability of occurance of particular values of covariates at a node given the value of target.",
      "topics": [
        "calc_emis"
      ]
    },
    {
      "page": "forward",
      "title": "Infer the forward probabilities for all the nodes of the dagHMM",
      "topics": [
        "forward"
      ]
    },
    {
      "page": "fwd_seq_gen",
      "title": "Calculate the order in which nodes in the dag should be traversed during the forward pass(roots to leaves)",
      "topics": [
        "fwd_seq_gen"
      ]
    },
    {
      "page": "gen_emis",
      "title": "Generating the inital emission probability distribution of the covariates in TAN structure.",
      "topics": [
        "gen_emis"
      ]
    },
    {
      "page": "initHMM",
      "title": "Initializing dagHMM with given parameters",
      "topics": [
        "initHMM"
      ]
    },
    {
      "page": "noisy_or",
      "title": "Calculating the probability of transition from multiple nodes to given node in the dag",
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      ]
    }
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