# scR:  Learning from Noise: Applying Sample Complexity Bounds for Political Science Research

This R package provides a computationally efficient way of calculating Sample Complexity Bounds (scb), suggested by Carter and Choi (2023).


## Authors
[Perry Carter](https://politics.princeton.edu/people/perry-carter) and [Dahyun Choi](https://dahyunc.github.io/)

## Paper
Learning from Noise: Applying Sample Complexity Bounds for Political Science Research

## Installation

Install the package from CRAN by running the R commands:

``` r
install.packages("scR")
library("scR")
```
