DABEST is a package for Data Analysis using Bootstrapped ESTimation.
Python 3.6 is strongly recommended, although this has been tested with Python 2.7 and Python 3.5.
In addition, the following packages are also required:
- numpy (1.13.x)
- scipy (1.0.x)
- matplotlib (2.0.x)
- seaborn (0.8.x)
- pandas (0.23.x).
To obtain these package dependencies easily, it is highly recommended to download the Anaconda distribution of Python.
You can install this package via pip.
To install, at the command line run
pip install --upgrade dabestYou can also clone this repo locally (see intstructions here).
Then, navigate to the cloned repo in the command line and run
pip install .Please refer to the documentation.
There is also a Matlab version of DABEST.
There isn't an implementation of DABEST in R, and there are no current plans to create one.
However, it is possible to use the R package reticulate to run Python code. Please take a look at this tutorial on how to use reticulate to analyse data in R.