R Development Page
Contributed R Packages
Below is a list of all packages provided by project blockmodeling.
Important note for package
binaries: R-Forge provides these binaries only for
the most recent version of R, but not for older
versions. In order to successfully install the
packages provided on R-Forge, you have to switch
to the most recent version of R or, alternatively,
install from the package sources (.tar.gz).
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StochBlock | Stochastic Blockmodeling of One-Mode and Linked Networks
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Stochastic blockmodeling of one-mode and linked networks as presented in Škulj and Žiberna (2022) . The optimization is done via CEM (Classification Expectation Maximization) algorithm that can be initialized by random partitions or the results of k-means algorithm. The development of this package is financially supported by the Slovenian Research Agency () within the research programs P5-0168 and the research projects J7-8279 (Blockmodeling multilevel and temporal networks) and J5-2557 (Comparison and evaluation of different approaches to blockmodeling dynamic networks by simulations with application to Slovenian co-authorship networks). |
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Version: 0.1.3 |
Last change: 2023-08-23 21:42:49+02 |
Rev.: 418 |
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Download:
 (.tar.gz) |
 (.zip) |
Build status: Current | Stable Release: Get StochBlock 0.1.2 from CRAN |
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R install command:
install.packages("StochBlock", repos="http://R-Forge.R-project.org") |
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StochBlockTest | Stochastic Blockmodeling of One-Mode and Linked Networks
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Stochastic blockmodeling of one-mode and linked networks. |
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Version: 0.0.2.9047 |
Last change: 2022-08-18 12:23:14+02 |
Rev.: 389 |
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Download:
(.tar.gz) |
(.zip) |
Build status: Current |
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R install command:
install.packages("StochBlockTest", repos="http://R-Forge.R-project.org") |
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blockmodeling | Generalized and Classical Blockmodeling of Valued Networks
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This is primarily meant as an implementation of generalized blockmodeling for valued networks.
In addition, measures of similarity or dissimilarity based on structural equivalence and
regular equivalence (REGE algorithms) can be computed and partitioned matrices can be plotted:
Žiberna (2007), Žiberna (2008),
Žiberna (2014). |
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Version: 1.1.5 |
Last change: 2023-08-23 14:19:22+02 |
Rev.: 416 |
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Download:
(.tar.gz) |
(.zip) |
Build status: Current | Stable Release: Get blockmodeling 1.1.5 from CRAN |
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R install command:
install.packages("blockmodeling", repos="http://R-Forge.R-project.org") |
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blockmodelingOld | Generalized and Classical Blockmodeling of Valued Networks
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The package is primarily meant as an implementation of Generalized blockmodeling for valued networks. In addition, measures of similarity or dissimilarity based on structural equivalence and regular equivalence (REGE algorithms) can be computed and partitioned matrices can be plotted. |
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Version: 0.2.4 |
Last change: 2018-04-10 23:29:20+02 |
Rev.: 99 |
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Download:
(.tar.gz) |
(.zip) |
Build status: Current |
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R install command:
install.packages("blockmodelingOld", repos="http://R-Forge.R-project.org") |
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blockmodelingVer036 | Generalized and Classical Blockmodeling of Valued Networks
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This is primarily meant as an implementation of generalized blockmodeling for valued networks.
In addition, measures of similarity or dissimilarity based on structural equivalence and
regular equivalence (REGE algorithms) can be computed and partitioned matrices can be plotted:
Žiberna (2007), Žiberna (2008),
Žiberna (2014). |
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Version: 0.3.6 |
Last change: 2020-07-01 11:11:35+02 |
Rev.: 308 |
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Download:
(.tar.gz) |
(.zip) |
Build status: Current |
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R install command:
install.packages("blockmodelingVer036", repos="http://R-Forge.R-project.org") |
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dBlockmodeling | Deterministic Blockmodeling of Signed, One-Mode and Two-Mode Networks
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It contains functions to apply blockmodeling of signed (positive and negative weights are assigned to the links), one-mode and valued one-mode and two-mode (two sets of nodes are considered, e.g. employees and organizations) networks (Brusco et al. (2019) ). |
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Version: 0.2.3 |
Last change: 2023-08-22 15:38:12+02 |
Rev.: 413 |
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Download:
(.tar.gz) |
(.zip) |
Build status: Current | Stable Release: Get dBlockmodeling 0.2.3 from CRAN |
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R install command:
install.packages("dBlockmodeling", repos="http://R-Forge.R-project.org") |
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kmBlock | k-Means Like Blockmodeling of One-Mode and Linked Networks
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Implements k-means like blockmodeling of one-mode and linked networks as presented in Žiberna (2020) . The development of this package is financially supported by the Slovenian Research Agency () within the research programs P5-0168 and the research projects J7-8279 (Blockmodeling multilevel and temporal networks) and J5-2557 (Comparison and evaluation of different approaches to blockmodeling dynamic networks by simulations with application to Slovenian co-authorship networks). |
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Version: 0.1.2 |
Last change: 2023-09-18 12:41:06+02 |
Rev.: 419 |
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Download:
(.tar.gz) |
(.zip) |
Build status: Current | Stable Release: Get kmBlock 0.1.2 from CRAN |
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R install command:
install.packages("kmBlock", repos="http://R-Forge.R-project.org") |
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kmBlockOld | k-Means Like Blockmodeling of One-Mode and Linked Networks
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k-means like blockmodeling of one-mode and linked networks |
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Version: 0.0.1.9200 |
Last change: 2023-08-03 14:59:40+02 |
Rev.: 410 |
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Download:
(.tar.gz) |
(.zip) |
Build status: Failed to build |
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R install command:
install.packages("kmBlockOld", repos="http://R-Forge.R-project.org") |
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Build status codes
0 - Current: the package is available for download. The corresponding package passed checks on the Linux and Windows platform without ERRORs.
1 - Scheduled for build: the package has been recognized by the build system and provided in the staging area.
2 - Building: the package has been sent to the build machines. It will be built and checked using the latest patched version of R. Note that it is included in a batch of several packages. Thus, this process will take some time to finish.
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