defm
0.2.1.0Estimation and Simulation of Multi-Binary Response Models
Overview
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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- OK2026-04-2512 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-04-2212 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-04-1811 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- NOTE2026-03-1012 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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- Examples that run
- 100%
- Documented parameters
- 89%
- Return-value docs
- 100%
- References docs
- 30%
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3 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 0.2.1.0Latest
- unarchivedReturned to CRAN2026-02-13
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- archivedRemoved from CRAN2024-01-23check problems were not corrected
- 0.1-12023-09-07 · diff ↗
- unarchivedReturned to CRAN2023-09-07
- archivedRemoved from CRAN2023-08-22check issues were not corrected in time
- 0.1-02023-08-08
- RR 4.3.0 released · 2023-04-21
Package metadata
- First published
- 2023-08-08
- Total releases
- 3 / 3 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 4.1.0
- Bundled data
- 17 KB / 2 files
- Download size
- 141 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet