Fast implementation of data structures, including a key-value
    store, stack, and queue. Environments are commonly used as key-value stores
    in R, but every time a new key is used, it is added to R's global symbol
    table, causing a small amount of memory leakage. This can be problematic in
    cases where many different keys are used. Fastmap avoids this memory leak
    issue by implementing the map using data structures in C++.

Package providing a fast match() replacement for cases
	that require repeated look-ups. It is slightly faster that R's
	built-in match() function on first match against a table, but
	extremely fast on any subsequent lookup as it keeps the hash
	table in memory.

Small set of functions designed to speed up the computation of certain 
  matrix operations that are commonly used in statistics and econometrics. It provides 
  efficient implementations for the computation of several structured matrices, matrix 
  decompositions and statistical procedures, many of which have minimal memory overhead.
  Furthermore, the package provides interfaces to C code callable by another C code 
  from other R packages.

A mutual information estimator based on k-nearest neighbor method proposed by A. Kraskov, et al. (2004) <doi:10.1103/PhysRevE.69.066138> to measure general dependence and the time complexity for our estimator is only squared to the sample size, which is faster than other statistics. Besides, an implementation of mutual information based independence test is provided for analyzing multivariate data in Euclidean space (T B. Berrett, et al. (2019) <doi:10.1093/biomet/asz024>); furthermore, we extend it to tackle datasets in metric spaces.

Streamlines the training, evaluation, and comparison of multiple machine learning models with minimal code by providing 
            comprehensive data preprocessing and support for a wide range of algorithms with hyperparameter tuning. 
            It offers performance metrics and visualization tools to facilitate efficient and effective machine learning workflows.