The Ultimate Guide to the NetMix Package in R
Explore valuable documentation and insights to make the most of the NetMix package in R. Get ready to unlock the full potential of the NetMix package!
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What is the NetMix package?
In this section, we’ll delve into the fundamental aspects and key features of the package.
The NetMix package is for simulating random graphs with a given degree distribution and clustering coefficient. It’s useful in numerous fields, from social sciences to computer science, where understanding the properties of complex networks is important.
- Title: Dynamic Mixed-Membership Network Regression Model
- Description: Stochastic collapsed variational inference on mixed-membership stochastic blockmodel for networks, incorporating node-level predictors of mixed-membership vectors, as well as dyad-level predictors. For networks observed over time, the model defines a hidden Markov process that allows the effects of node-level predictors to evolve in discrete, historical periods. In addition, the package offers a variety of utilities for exploring results of estimation, including tools for conducting posterior predictive checks of goodness-of-fit and several plotting functions. The package implements methods described in Olivella, Pratt and Imai (2019) 'Dynamic Stochastic Blockmodel Regression for Social Networks: Application to International Conflicts', available at .
- Author: Santiago Olivella [aut, cre], Adeline Lo [aut, cre], Tyler Pratt [aut, cre], Kosuke Imai [aut, cre]
- Maintainer: Santiago Olivella
How to install the NetMix package?
In this section, we’ll walk you through the process of installing and loading the NetMix package. By following these steps, you can seamlessly add new functions, datasets, and other resources to your R environment for a more robust workflow.
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What package information should you know?
In this section, we’ll go over the technical aspects of the NetMix package.
Key features
- Datasets: Many R packages include built-in datasets that you can use to familiarize yourself with their functionalities. To identify built-in datasets. To identify the datasets for the NetMix package, visit our database of R datasets.
- Vignettes: R vignettes are documents that include examples for using a package. To view the list of available vignettes for the NetMix package, you can visit our visit our database of R vignettes.
- Citation: Citing R packages in your publications is important as it recognizes the contributions of the developers. To find citation information for the NetMix package, visit our database of R package citations.
Technical details
- License type: GPL (>= 2). For license details, visit the Open Source Initiative website.
- Compilation requirements: Some R packages include internal code that must be compiled for them to function correctly. The NetMix package has compilation requirements.
- Required dependencies: A required dependency refers to another package that is essential for the functioning of the main package. The NetMix package has the following required dependencies: R (>= 4.1.0).
- Suggested dependencies: A suggested dependency adds extra features to the main package, but the main package can work without it. The NetMix package has the following suggested dependencies: ergm (>= 3.9.4), ggplot2 (>= 3.1.1), network (>= 1.13), scales (>= 1.0.0).
- External dependencies: External dependencies are other packages that the main package depends on for linking at compile time. The NetMix package uses the following external sources: Rcpp, RcppArmadillo.
- Imported packages: Importing packages allows developers to leverage existing code and functionalities without having to reinvent the wheel. The NetMix package has the following imported packages: clue (>= 0.3-58), graphics (>= 3.5.2), grDevices (>= 3.5.2), gtools (>= 3.8.1), igraph (>= 1.2.4.1), lda (>= 1.4.2), Matrix (>= 1.2-15), MASS (>= 7.3-51.4), methods (>= 3.5.2), poisbinom (>= 1.0.1), Rcpp (>= 1.0.2), stats (>= 3.5.2), utils (>= 3.5.2).
- Enhancements: Enhancements help developers expand the capabilities of their packages without starting from scratch. The NetMix package has no enhancements.
How to get help with the NetMix package?
In this section, we’ll discuss a variety of available resources for getting help with the NetMix package.
Key resources
- The help() function: R’s built-in help system is a handy tool to find documentation. You can use the help("NetMix") function to retrieve detailed information, examples, and usage instructions. Alternatively, you can use the ? operator as a shortcut.
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Package website: The NetMix package does not have a dedicated website.
- Developer support: You can email Santiago Olivella . For contact information, visit our R community directory.
Additional resources
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- Discussion forums: Online forums are excellent platforms to ask questions, share knowledge, and troubleshoot issues. The most popular forums for R programmers are StackOverflow and Posit Community.
Other package guides
Explore our comprehensive guides for other R packages. These guides are valuable resources for accessing a wide range of information, making it easier to navigate R documentation in one place.
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