defm
Estimation and Simulation of Multi-Binary Response Models
Description
Multi-binary response models are a class of models that allow for the estimation of multiple binary outcomes simultaneously. This package provides functions to estimate and simulate these models using the Discrete Exponential-Family Models [DEFM] framework. In it, we implement the models described in Vega Yon, Valente, and Pugh (2023) <doi:10.48550/arXiv.2211.00627>. DEFMs include Exponential-Family Random Graph Models [ERGMs], which characterize graphs using sufficient statistics, which is also the core of DEFMs. Using sufficient statistics, we can describe the data through meaningful motifs, for example, transitions between different states, joint distribution of the outcomes, etc.
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| r-devel-linux-x86_64-fedora-gcc | OK |
| r-devel-macos-arm64 | OK |
| r-devel-windows-x86_64 | OK |
| r-oldrel-macos-arm64 | NOTE |
| r-oldrel-macos-x86_64 | NOTE |
| r-oldrel-windows-x86_64 | OK |
| r-patched-linux-x86_64 | OK |
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| r-release-windows-x86_64 | OK |
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installed package size
installed size is 6.4Mb
sub-directories of 1Mb or more:
libs 6.1Mb
installed package size
installed size is 6.7Mb
sub-directories of 1Mb or more:
libs 6.3Mb
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NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026
installed package size
installed size is 6.4Mb
sub-directories of 1Mb or more:
libs 6.1Mb
installed package size
installed size is 6.7Mb
sub-directories of 1Mb or more:
libs 6.3Mb