README.Rmd

---
output: github_document
---

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```{r, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
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)
```

# PopED <img src="man/figures/logo.png" align="right" alt="" width="240" />
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PopED computes optimal experimental designs for both population 
and individual studies based on nonlinear mixed-effect models. 
Often this is based on a computation of the Fisher Information Matrix (FIM). 

## Installation

You need to have R installed.  Download the latest version of R from www.r-project.org.
You can install the released version of PopED from [CRAN](https://CRAN.R-project.org) with:

``` r
install.packages("PopED")
```

And the development version from [GitHub](https://github.com/) with:

``` r
# install.packages("devtools")
devtools::install_github("andrewhooker/PopED")
```
## Getting started

To get started you need to define 

1. A model.
2. An initial design (and design space if you want to optimize). 
3. The tasks to perform. 

Learn more in this [introduction to PopED](https://andrewhooker.github.io/PopED/articles/intro-poped.html)

## Contact

You are welcome to:

* Ask questions at: https://github.com/andrewhooker/PopED/discussions
* submit suggestions and bug-reports at: https://github.com/andrewhooker/PopED/issues 
* send a pull request on: https://github.com/andrewhooker/PopED
* compose a friendly e-mail to: andrew.hooker@farmaci.uu.se