A thin wrapper around the 'ajv' JSON validation package for
    JavaScript. See <http://epoberezkin.github.io/ajv/> for details.

Create aliases for other R names or arbitrarily complex R expressions. Accessing the alias acts as-if the aliased expression were invoked instead, and continuously reflects the current value of that expression: updates to the original expression will be reflected in the alias; and updates to the alias will automatically be reflected in the original expression.

A tidy framework for automatic knowledge classification and visualization. Currently, the core functionality of the framework is mainly supported by modularity-based clustering (community detection) in keyword co-occurrence network, and focuses on co-word analysis of bibliometric research. However, the designed functions in 'akc' are general, and could be extended to solve other tasks in text mining as well.

Continuous and discrete (count or categorical) estimation of density, probability mass function (p.m.f.) and regression functions are performed using associated kernels. The cross-validation technique and the local Bayesian procedure are also implemented for bandwidth selection.

Flagger to detect acute kidney injury (AKI) in a patient dataset.

Several cubic spline interpolation methods of H. Akima for irregular and
  regular gridded data are available through this package, both for the bivariate case
  (irregular data: ACM 761, regular data: ACM 760) and univariate case (ACM 433 and ACM 697).
  Linear interpolation of irregular gridded data is also covered by reusing D. J. Renkas
  triangulation code which is part of Akimas Fortran code. A bilinear interpolator
  for regular grids was also added for comparison with the bicubic interpolator on
  regular grids.
  Please note that most of the functions are now also covered in package
  interp, which is a re-implementation from scratch under a free license.

Covers several areas of data processing: batch-splitting, reading and writing of large
    data files, data tiling, one-hot encoding and decoding of data tiles, stratified proportional
    (random or probabilistic) data sampling, data normalization and thresholding, substring location
    and commonalities inside strings, and location and tabulation of amino acids, modifications or 
    associated monoisotopic masses inside modified peptides. The extractor implements code from
    'Matrix.utils', Varrichio C (2020), <https://cran.r-project.org/package=Matrix.utils>.