1 Software Installation

Please install the software below before the workshop so we can move quickly through the Day 1 material. If you have any questions, contact the course instructor, before the course.

1.0.1 R and RStudio

Install the latest version of R (currently R version 4.5.3 (2026-03-11)). We strongly recommend updating your R version before NME, as older versions may not be fully compatible.

We will use RStudio as our IDE for the workshop. Please install the most recent version.

1.0.2 R Packages

With an open R console, install EpiModel, statnetWeb, and their dependencies:

Code

install.packages(c("EpiModel", "statnetWeb"), dependencies = TRUE)

This will also install the needed statnet packages (ergm, tergm, network, networkDynamic).

1.0.3 Testing the Installation

After installation, verify that the key packages load correctly:

Code

library("EpiModel")
library("statnetWeb")
library("ergm.ego")
library("ndtv")

Then confirm your installed versions match those listed below:

Package	Version
EpiModel	2.6.0
ergm	4.12.0
tergm	4.2.2
network	1.20.0
networkDynamic	0.11.5
ergm.ego	1.1.4
statnetWeb	0.6.1

1.0.4 Statnet Tutorials

We encourage you to explore the Statnet Workshops tutorials to practice your R and network analysis skills before the course.

# Software Installation

Please install the software below **before** the workshop so we can move quickly through the Day 1 material. If you have any questions, contact the [course instructor](mailto:samuel.m.jenness@emory.edu), before the course.

### R and RStudio

Install the latest version of [R](https://cran.r-project.org/) (currently `r R.version.string`). We strongly recommend updating your R version before NME, as older versions may not be fully compatible.

We will use [RStudio](https://posit.co/download/rstudio-desktop/) as our IDE for the workshop. Please install the most recent version.

### R Packages

With an open R console, install `EpiModel`, `statnetWeb`, and their dependencies:

```{r, eval=FALSE}
install.packages(c("EpiModel", "statnetWeb"), dependencies = TRUE)
```

This will also install the needed **statnet** packages (`ergm`, `tergm`, `network`, `networkDynamic`).

### Testing the Installation

After installation, verify that the key packages load correctly:

```{r, message=FALSE, warning=FALSE, results='hide'}
library("EpiModel")
library("statnetWeb")
library("ergm.ego")
library("ndtv")
```

Then confirm your installed versions match those listed below:

```{r, echo=FALSE}
packages <- c("EpiModel", "ergm", "tergm", "network",
              "networkDynamic", "ergm.ego", "statnetWeb")
versions <- sapply(packages, function(p) as.character(packageVersion(p)))
knitr::kable(data.frame(Package = packages, Version = versions),
             row.names = FALSE)
```

### Statnet Tutorials

We encourage you to explore the [Statnet Workshops](https://statnet.org/workshops/) tutorials to practice your R and network analysis skills before the course.