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defm  

Estimation and Simulation of Multi-Binary Response Models
View on CRAN: Click here


Download and install defm package within the R console
Install from CRAN:
install.packages("defm")

Install from Github:
library("remotes")
install_github("cran/defm")

Install by package version:
library("remotes")
install_version("defm", "0.1-1")



Attach the package and use:
library("defm")
Maintained by
George Vega Yon
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-08-08
Latest Update: 2024-01-23
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) . 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.
How to cite:
George Vega Yon (2023). defm: Estimation and Simulation of Multi-Binary Response Models. R package version 0.1-1, https://cran.r-project.org/web/packages/defm
Previous versions and publish date:
0.1-0 (2023-08-08 17:40), 0.1-1 (2023-09-07 10:30)
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