Simplify the installation instructions

The spleenrbc package can now be installed from my personal R-universe
package registry (see https://robmoss.r-universe.dev/builds).

README.md

@@ -10,39 +10,24 @@ See the [online documentation](https://rgmoss.pages.gitlab.unimelb.edu.au/malari
 The model is implemented [in R](https://www.r-project.org/) and provided as an R package called `spleenrbc`.
 The simplest way to install this package is:
 
-1. Clone this repository:
-
-   ```sh
-   git clone https://gitlab.unimelb.edu.au/rgmoss/malaria-spleen-rbc-loss.git
-   ```
-
-2. Launch R:
-
-   ```sh
-   R
-   ```
-
-3. Use [devtools](https://devtools.r-lib.org/) to install the model package:
-
-   ```R
-   # Install devtools if it isn't already installed.
-   install.packages("devtools")
-
-   # Install the spleenrbc package.
-   devtools::install("malaria-spleen-rbc-loss")
-   ```
+```R
+install.packages("spleenrbc", repos = "https://robmoss.r-universe.dev")
+library(spleenrbc)
+```
+You will then be able to run the baseline model scenarios, and define and run your own model scenarios.
+See the provided [package documentation and vignettes](https://rgmoss.pages.gitlab.unimelb.edu.au/malaria-spleen-rbc-loss/) for examples.
 
-4. Load the `spleenrbc` package as per usual:
+## Running simulations and plotting results
 
-   ```R
-   library(spleenrbc)
-   ```
+The simulation and plotting scripts are not included in the package itself.
+In order to run them, you will need to clone this repository:
 
-You will then be able to run the provided simulation and plotting scripts (see below).
-You can also define and run your own model scenarios.
-See the provided package documentation and vignettes for examples (see below).
+```sh
+git clone https://gitlab.unimelb.edu.au/rgmoss/malaria-spleen-rbc-loss.git
+cd malaria-spleen-rbc-loss
+```
 
-## Running simulations
+### Running simulations
 
 There are scripts to run the following simulations:
 
@@ -56,7 +41,7 @@ There are scripts to run the following simulations:
   Both sets of simulations use Latin hypercube sampling (LHS) and vary 18 of the baseline parameters by +/- 20%.
   Note that this may take **around 2 hours** to complete.
 
-## Plotting results
+### Plotting results
 
 Each simulation script saves the results to a separate CSV file in the `outputs/` directory.
 
@@ -67,7 +52,7 @@ For example, run the following command to plot the baseline Pf results:
 ./plot-scenarios.R outputs/baseline-pf.csv
 ```
 
-## Sensitivity analyses
+### Sensitivity analyses
 
 Summaries of each sensitivity analysis are provided as `.rds` files in the `outputs/` directory.
 Summary plots for each sensitivity analysis can be produced by running: