Move installation instructions to GitHub landing page

README.md

@@ -13,3 +13,37 @@ The Probabilistic Resource Adequacy Suite (PRAS) is a collection of tools for
 bulk power system resource adequacy analysis and capacity credit calculation.
 The most recent documentation report (for version 0.6) is available
 [here](https://www.nrel.gov/docs/fy21osti/79698.pdf).
+
+# Installation
+
+PRAS is written in the [Julia](https://julialang.org/) numerical programming
+language. If you haven't already, your first step should be to install Julia.
+Instructions are available at
+[julialang.org/downloads](https://julialang.org/downloads/).
+
+Once you have Julia installed, PRAS can be installed from the Julia [General registry](https://pkgdocs.julialang.org/v1/registries/) which is installed by default if you have no other registries installed.
+
+From the main Julia prompt, type `]` to enter the package management REPL.
+The prompt should change from `julia>` to something like `(v1.10) pkg>`
+(your version number may be slightly different).
+Type (or paste) the following (minus the `pkg>` prompt) 
+```
+pkg> add PRAS
+```
+
+This will automatically install the PRAS Julia module and all of its
+related dependencies. At this point you can hit Backspace to switch back to the
+main `julia>` prompt.
+
+With PRAS installed, you can load it into Julia as follows:
+
+```Julia
+using PRAS
+```
+
+This will make the core PRAS functions (most importantly, the `SystemModel`
+and `assess` functions) available for use in your Julia script or
+interactive REPL session.
+
+The [Getting Started](docs/getting-started) document provides more information
+on using PRAS.

docs/index.md

@@ -8,5 +8,4 @@ assessment, including simulation of energy-limited resources such as storage.
 PRAS is developed and maintained at the US
 [National Renewable Energy Laboratory](https://www.nrel.gov/) (NREL).
 
-For help installing PRAS, see the [Installation](./installation) page. To get started using PRAS,
-see the [Getting Started](./getting-started) page.
+For help installing PRAS, see the [instructions in the PRAS GitHub page](https://github.com/NREL/PRAS). To get started using PRAS, see the [Getting Started](./getting-started) page.