A unified software package simultaneously implemented in 'Python', 'R', and 'Matlab' providing a uniform and internally-consistent way of calculating stoichiometric equilibrium constants in modern and palaeo seawater as a function of temperature, salinity, pressure and the concentration of magnesium, calcium, sulphate, and fluorine.

The kernel ridge regression and the gradient matching algorithm proposed in Niu et al. (2016) <https://proceedings.mlr.press/v48/niu16.html> and the warping algorithm proposed in Niu et al. (2017) <DOI:10.1007/s00180-017-0753-z> are implemented for parameter inference in differential equations. Four schemes are provided for improving parameter estimation in odes by using the odes regularisation and warping.

Metadata about populations and data about samples from the 1000 Genomes Project, including the 2,504 samples sequenced for the Phase 3 release and the expanded collection of 3,202 samples with 602 additional trios. The data is described in Auton et al. (2015) <doi:10.1038/nature15393> and Byrska-Bishop et al. (2022) <doi:10.1016/j.cell.2022.08.004>, and raw data is available at <http://ftp.1000genomes.ebi.ac.uk/vol1/ftp/>. See Turner (2022) <doi:10.48550/arXiv.2210.00539> for more details.

Training and evaluating k-gram language models in R, 
        supporting several probability smoothing techniques, 
        perplexity computations, random text generation and more.

Restore underlining numeric data from rating history graph of 
    KGS (an online platform of the game of go, <http://www.gokgs.com/>). 
    A shiny application is also provided.

Simplify data retrieval from Kenya's health system with a powerful interface 
    for efficient data retrieval from the Kenya Health Information System 
    (KHIS) <https://hiskenya.org>. Empower researchers, analysts, and healthcare 
    professionals to access critical health data efficiently.

The King's Health Questionnaire (KHQ) is a disease-specific, 
  self-administered questionnaire designed specific to assess the impact of 
  Urinary Incontinence (UI) on Quality of Life. The questionnaire was developed 
  by Kelleher and collaborators (1997) <doi:10.1111/j.1471-0528.1997.tb11006.x>. 
  It is a simple, acceptable and reliable measure to use in the clinical setting 
  and a research tool that is useful in evaluating UI treatment outcomes. 
  The KHQ five dimensions (KHQ5D) is a condition-specific preference-based 
  measure developed by Brazier and collaborators (2008) <doi:10.1177/0272989X07301820>. 
  Although not as popular as the SF6D <doi:10.1016/S0895-4356(98)00103-6> and 
  EQ-5D <https://euroqol.org/>, the KHQ5D measures health-related quality of 
  life (HRQoL) specifically for UI, not general conditions like the others 
  two instruments mentioned. The KHQ5D ca be used in the clinical and economic 
  evaluation of health care. The subject self-rates their health in terms of 
  five dimensions: Role Limitation (RL), Physical Limitations (PL), Social 
  Limitations (SL), Emotions (E), and Sleep (S). Frequently the states on these 
  five dimensions are converted to a single utility index using country specific 
  value sets, which can be used in the clinical and economic evaluation of 
  health care as well as in population health surveys. This package provides 
  methods to calculate scores for each dimension of the KHQ; converts KHQ item 
  scores to KHQ5D scores; and also calculates the utility index of the KHQ5D.