Assign and listen to keyboard shortcuts in 'shiny' using the 
  'Mousetrap' Javascript library.

Convert keys and other values to memorable phrases. 
  Includes some methods to build lists of words.

Provides functions to identify plausible and replicable factor
  structures for a set of variables via k-fold cross validation. The process
  combines the exploratory and confirmatory factor analytic approach to scale
  development (Flora & Flake, 2017) <doi:10.1037/cbs0000069> with a cross validation
  technique that maximizes the available data (Hastie, Tibshirani, & Friedman, 2009)
  <isbn:978-0-387-21606-5>. Also available are functions to determine k by drawing 
  on power analytic techniques for covariance structures (MacCallum, Browne, &
  Sugawara, 1996) <doi:10.1037/1082-989X.1.2.130>, generate model syntax, and
  summarize results in a report.

State space modelling is an efficient and flexible framework for 
    statistical inference of a broad class of time series and other data. KFAS 
    includes computationally efficient functions for Kalman filtering, smoothing, 
    forecasting, and simulation of multivariate exponential family state space models, 
    with observations from Gaussian, Poisson, binomial, negative binomial, and gamma 
    distributions. See the paper by Helske (2017) <doi:10.18637/jss.v078.i10> for details.

Kernel Fisher Discriminant Analysis (KFDA) is performed using Kernel Principal Component Analysis (KPCA) and Fisher Discriminant Analysis (FDA).
    There are some similar packages. First, 'lfda' is a package that performs Local Fisher Discriminant Analysis (LFDA) and performs other functions.
    In particular, 'lfda' seems to be impossible to test because it needs the label information of the data in the function argument. Also, the 'ks' package has a limited dimension, which makes it difficult to analyze properly.
    This package is a simple and practical package for KFDA based on the paper of Yang, J., Jin, Z., Yang, J. Y., Zhang, D., and Frangi, A. F. (2004) <DOI:10.1016/j.patcog.2003.10.015>.