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btergm - MaRDI portal

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btergm (Q36209)

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Temporal Exponential Random Graph Models by Bootstrapped Pseudolikelihood
Language Label Description Also known as
English
btergm
Temporal Exponential Random Graph Models by Bootstrapped Pseudolikelihood

    Statements

    instance of
    R package
    0 references
    software version identifier
    1.10.10
    publication date
    24 April 2023
    0 references
    1.5.2
    publication date
    5 August 2015
    0 references
    1.5.9
    publication date
    24 September 2015
    0 references
    1.6.5
    publication date
    27 January 2016
    0 references
    1.6
    publication date
    14 December 2015
    0 references
    1.7.0
    publication date
    20 February 2016
    0 references
    1.7.3
    publication date
    21 April 2016
    0 references
    1.7.6
    publication date
    18 June 2016
    0 references
    1.8.1
    publication date
    6 December 2016
    0 references
    1.8.2
    publication date
    29 January 2017
    0 references
    1.9.0
    publication date
    31 March 2017
    0 references
    1.9.1
    publication date
    16 February 2018
    0 references
    1.9.3
    publication date
    24 August 2018
    0 references
    1.9.4
    publication date
    14 May 2019
    0 references
    1.9.7
    publication date
    7 April 2020
    0 references
    1.9.9
    publication date
    18 June 2020
    0 references
    1.9.13
    publication date
    26 October 2020
    0 references
    1.10.3
    publication date
    26 June 2021
    0 references
    1.10.6
    publication date
    2 April 2022
    0 references
    1.10.11
    publication date
    5 October 2023
    0 references
    programmed in
    R
    0 references
    last update
    5 October 2023
    0 references
    description
    Temporal Exponential Random Graph Models (TERGM) estimated by maximum pseudolikelihood with bootstrapped confidence intervals or Markov Chain Monte Carlo maximum likelihood. Goodness of fit assessment for ERGMs, TERGMs, and SAOMs. Micro-level interpretation of ERGMs and TERGMs. The methods are described in Leifeld, Cranmer and Desmarais (2018), JStatSoft <doi:10.18637/jss.v083.i06>.
    0 references
    author
    Philip Leifeld
    0 references
    imports
    stats
    0 references
    utils
    0 references
    methods
    0 references
    graphics
    0 references
    network
    software version identifier
    ≥ 1.17.1
    0 references
    sna
    software version identifier
    ≥ 2.3.2
    0 references
    ergm
    software version identifier
    ≥ 4.2.1
    0 references
    parallel
    0 references
    Matrix
    software version identifier
    ≥ 1.3.2
    0 references
    boot
    software version identifier
    ≥ 1.3.17
    0 references
    coda
    software version identifier
    ≥ 0.18.1
    0 references
    ROCR
    software version identifier
    ≥ 1.0.7
    0 references
    igraph
    software version identifier
    ≥ 0.7.1
    0 references

    Identifiers

    swMATH work ID
    24452
    0 references
    CRAN project
    btergm
    0 references
     
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