- A short title line describing what the package does
- An Rcpp implementation of Lin's Concordance Correlation Coefficient (CCC)

A more detailed description of what the package does. A length of about one to five lines is recommended.

This section should provide a more detailed overview of how to use the package, including the most important functions.

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Maintainer: Your Name <your@email.com>

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```
## Not run:
## Optional simple examples of the most important functions
## These can be in \dontrun{} and \donttest{} blocks.
## End(Not run)
```

This `ccc()`

function leverages the speed of C++ to implement Lin's Concordance Correlation Coefficient (CCC) via Rcpp. This
implementation is faster than other varieties of CCC calculation from other packages, i.e.,
`DescTools::CCC()`

and `epiR::epi.ccc()`

.

`ccc(x, y)`

`x` |
A numeric vector containing |

`y` |
A numeric vector containing |

For more details on the calculation of the CCC, see: https://en.wikipedia.org/wiki/Concordance_correlation_coefficient

A numeric scalar representing the CCC between `x`

and `y`

.

```
# Create x and y vectors
x <- rnorm(100, sd = 1)
y <- rnorm(length(x), sd = 0.2)
# Calculate CCC between x and y
ccc(x,y)
```