Hierarchical exponential-family models for big networks
A toolbox for analyzing and simulating large networks based on hierarchical exponential-family random graph models (HERGMs).
A toolbox for analyzing and simulating large networks based on hierarchical exponential-family random graph models (HERGMs).
Version: 1.2.1
License: GPL-3
GitHub
| Maintainers |
barracuda156
|
| Categories |
science
math
R
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| Homepage |
https://cran.r-project.org/package=bigergm
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| Platforms |
darwin
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| Variants |
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clang10
(Build using the MacPorts clang 10 compiler)
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clang11
(Build using the MacPorts clang 11 compiler)
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clang12
(Build using the MacPorts clang 12 compiler)
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clang13
(Build using the MacPorts clang 13 compiler)
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clang14
(Build using the MacPorts clang 14 compiler)
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clang15
(Build using the MacPorts clang 15 compiler)
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clang16
(Build using the MacPorts clang 16 compiler)
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clang50
(Build using the MacPorts clang 5.0 compiler)
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clang60
(Build using the MacPorts clang 6.0 compiler)
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clang70
(Build using the MacPorts clang 7.0 compiler)
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clang80
(Build using the MacPorts clang 8.0 compiler)
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clang90
(Build using the MacPorts clang 9.0 compiler)
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clangdevel
(Build using the MacPorts clang devel compiler)
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g95
(Build using the g95 Fortran compiler)
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gcc10
(Build using the MacPorts gcc 10 compiler)
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gcc11
(Build using the MacPorts gcc 11 compiler)
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gcc12
(Build using the MacPorts gcc 12 compiler)
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gcc13
(Build using the MacPorts gcc 13 compiler)
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gccdevel
(Build using the MacPorts gcc devel compiler)
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gfortran
(Build using the MacPorts gcc 14 Fortran compiler)
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"R-bigergm" depends on
lib (23)
run (1)
build (3)
test (5)
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R-bigergm seems to have been updated (port version: 1.2.1, new version: 1.2.4)
livecheck ran: 1 day, 19 hours ago