The `estmeansd`

package implements the methods of McGrath et al. (2019) for estimating the sample mean and standard deviation from commonly reported quantiles in meta-analysis. Specifically, these methods can be applied to studies that report one of the following sets of summary statistics:

- S1: median, minimum and maximum values, and sample size
- S2: median, first and third quartiles, and sample size
- S3: median, minimum and maximum values, first and third quartiles, and sample size

Additionally, the Shiny app estmeansd implements these methods.

## Installation

You can install the released version of `estmeansd`

from CRAN with:

After installing the `devtools`

package (i.e., calling `install.packages(devtools)`

), the development version of `estmeansd`

can be installed from GitHub with:

## Usage

Specifically, this package implements the Box-Cox (BC) and Quantile Estimation (QE) methods to estimate the sample mean and standard deviation. The BC and QE methods can be applied using the `bc.mean.sd()`

and `qe.mean.sd()`

functions, respectively: