README.Rmd

---
output: github_document
---

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```{r, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)
knitr::opts_chunk$set(fig.width=10, fig.height=4)
options(tidyverse.quiet = TRUE)
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# serosurvey

<!-- badges: start -->
[![Lifecycle: experimental](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://www.tidyverse.org/lifecycle/#experimental)
[![CRAN status](https://www.r-pkg.org/badges/version/serosurvey)](https://cran.r-project.org/package=serosurvey)
<!-- badges: end -->

The goal of serosurvey is to provide a centralized R package of Serological Survey Analysis For Prevalence Estimation Under Misclassification

## Installation

<!-- You can install the released version of serosurvey from [CRAN](https://CRAN.R-project.org) with: -->

``` r
if(!require("devtools")) install.packages("devtools")
devtools::install_github("avallecam/serosurvey")
```

## Example

This is a basic example which shows you how to solve a common problem:

```{r example}
library(serosurvey)
## basic example code
```

### Known test - Bayesian method

```{r,eval=FALSE}
example("serosvy_known_sample_posterior")
```

### Unknown test - Bayesian method

```{r,eval=FALSE}
example("serosvy_unknown_sample_posterior")
```

## Workflow

## Contribute

## Citation

```{r}
citation("serosurvey")
```