Estimation algorithms for Kullback-Leibler divergence between two probability
    distributions, based on one or two samples, and including uncertainty quantification.
    Distributions can be uni- or multivariate and continuous, discrete or mixed.

Most importantly, calculates Kullback-Leibler Divergence (KLD), Turing's perspective estimator
 and their confidence intervals.

Six relational 'tibbles' from the Kootenay Lake Large Trout Exploitation study.
  The study which ran from 2008 to 2014 caught, tagged and released large Rainbow Trout and Bull Trout
  in Kootenay Lake by boat angling. 
  The fish were tagged with internal acoustic tags and/or high reward external tags
  and subsequently detected by an acoustic receiver array as well as reported by anglers.
  The data are analysed by Thorley and Andrusak (1994) <doi:10.7717/peerj.2874>
  to estimate the natural and fishing mortality of both species.

Provides the function to calculate the kernel-lasso expansion, Z-score, and max-min-scale standardization.It can increase the dimension of existed dataset and remove abundant features by lasso. Z Dai, L Jiayi, T Gong, C Wang (2021) <doi:10.1088/1742-6596/1955/1/012047>.

Kernel Learning Integrative Clustering (KLIC) is an algorithm that allows to combine multiple kernels, each representing a different measure of the similarity between a set of observations. The contribution of each kernel on the final clustering is weighted according to the amount of information carried by it. As well as providing the functions required to perform the kernel-based clustering, this package also allows the user to simply give the data as input: the kernels are then built using consensus clustering. Different strategies to choose the best number of clusters are also available. For further details please see Cabassi and Kirk (2020) <doi:10.1093/bioinformatics/btaa593>.

A 'shiny' application for forensic kinship testing, based on
    the 'pedsuite' R packages. 'KLINK' is closely aligned with the (non-R)
    software 'Familias' and 'FamLink', but offers several unique features,
    including visualisations and automated report generation. The
    calculation of likelihood ratios supports pairs of linked markers, and
    all common mutation models.