Format numbers and plots for publication; includes the removal of leading zeros,
           standardization of number of digits, addition of affixes, and a p-value formatter. These
           tools combine the functionality of several 'base' functions such as 'paste()',
           'format()', and 'sprintf()' into specific use case functions that are named in a way
           that is consistent with usage, making their names easy to remember and easy to deploy.

A number series generator that creates number series items based on cognitive models.

To add the table of numbers at risk below the Kaplan-Meier plot.

Optimizing regular numeric problems in optically stimulated luminescence dating, 
        such as: equivalent dose calculation, dose rate determination, growth curve fitting, decay 
        curve decomposition, statistical age model optimization, and statistical plot visualization.

Segmentation of short text sequences - like hashtags - into the
    separated words sequence, done with the use of dictionary, which may be
    built on custom corpus of texts. Unigram dictionary is used to find most
    probable sequence, and n-grams approach is used to determine possible
    segmentation given the text corpus.

Provides a tool set for food information and dietary assessment. It 
    uses food composition data from several reference databases, including: 'USDA' (United States), 
    'CIQUAL' (France), 'BEDCA' (Spain), 'CNF' (Canada) and 'STFCJ' (Japan). 'NutrienTrackeR' calculates 
    the intake levels for both macronutrient and micronutrients, and compares them with the recommended 
    dietary allowances (RDA). It includes a number of visualization tools, such as time series 
    plots of nutrient intake, and pie-charts showing the main foods contributing to the intake 
    level of a given nutrient. A shiny app exposing the main functionalities of the package is also 
    provided.

Statistical tool for learning the structure of direct associations among variables for 
			 continuous data, discrete data and mixed discrete-continuous data. The package is based
			 on the copula graphical model in Behrouzi and Wit (2017) <doi:10.1111/rssc.12287>.