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mhsmm (Q31576)

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Inference for Hidden Markov and Semi-Markov Models
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mhsmm
Inference for Hidden Markov and Semi-Markov Models

    Statements

    instance of
    R package
    0 references
    software version identifier
    0.4.16
    publication date
    15 January 2017
    0 references
    0.1.0
    publication date
    2 March 2009
    0 references
    0.2.1
    publication date
    4 April 2009
    0 references
    0.2.3
    publication date
    14 April 2009
    0 references
    0.3.0
    publication date
    31 August 2009
    0 references
    0.3.1
    publication date
    24 September 2009
    0 references
    0.3.2
    publication date
    19 February 2010
    0 references
    0.3.5
    publication date
    19 May 2010
    0 references
    0.3.6
    publication date
    25 July 2010
    0 references
    0.3.8
    publication date
    29 November 2010
    0 references
    0.4.0
    publication date
    6 March 2011
    0 references
    0.4.2
    publication date
    7 April 2011
    0 references
    0.4.4
    publication date
    17 June 2011
    0 references
    0.4.6
    publication date
    3 September 2012
    0 references
    0.4.8
    publication date
    26 January 2013
    0 references
    0.4.10
    publication date
    13 June 2013
    0 references
    0.4.11
    publication date
    24 June 2013
    0 references
    0.4.12
    publication date
    9 January 2014
    0 references
    0.4.14
    publication date
    5 December 2016
    0 references
    0.4.21
    publication date
    23 August 2023
    0 references
    programmed in
    R
    0 references
    last update
    23 August 2023
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    description
    Parameter estimation and prediction for hidden Markov and semi-Markov models for data with multiple observation sequences. Suitable for equidistant time series data, with multivariate and/or missing data. Allows user defined emission distributions.
    0 references
    author
    Jared O'Connell
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    imports
    methods
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    Identifiers

    swMATH work ID
    19752
    0 references
    CRAN project
    mhsmm
    0 references
     
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