# `calculate.bounds.two_sigma`

Calculate the 95 percent confidence interval of an estimate given 2 sigma. This is used to
 calculate confidence intervals from EMOD calibration data that comes from a Gaussian distribution


## Description

Calculate the 95 percent confidence interval of an estimate given 2 sigma. This is used to
 calculate confidence intervals from EMOD calibration data that comes from a Gaussian distribution


## Usage

```r
calculate.bounds.two_sigma(mean_vector, two_sigma_vector)
```


## Arguments

Argument      |Description
------------- |----------------
`mean_vector`     |     A vector of the estimated value of a measurement
`two_sigma_vector`     |     A vector of the two standard deviations from the mean of a measurement


## Value

A data.frame with columns lb and ub corresponding to upper and lower bounds (95 % CI)