title: R equivalent of Python's dask
body: <p>Is there an equivalent package in R to Python's <code>dask</code>? Specifically for running Machine Learning algorithms on larger-than-memory data sets on a single machine.</p>
  
  <p>Link to Python's <code>Dask</code> page:
  <a href="https://dask.pydata.org/en/latest/" rel="noreferrer">https://dask.pydata.org/en/latest/</a></p>
  
  <p>From the Dask website:</p>
  
  <blockquote>
    <p>Dask natively scales Python</p>
    
    <p>Dask provides advanced parallelism for analytics, enabling performance
    at scale for the tools you love</p>
    
    <p>Dask's schedulers scale to thousand-node clusters and its algorithms
    have been tested on some of the largest supercomputers in the world.</p>
    
    <p>But you don't need a massive cluster to get started. Dask ships with
    schedulers designed for use on personal machines. Many people use Dask
    today to scale computations on their laptop, using multiple cores for
    computation and their disk for excess storage.</p>
  </blockquote>