Semissupervised model for geographical document classification (Watanabe 2018) <doi:10.1080/21670811.2017.1293487>. 
    This package currently contains seed dictionaries in English, German, French, Spanish, Italian, Russian, Hebrew, Arabic, Turkish, Japanese and Chinese (Simplified and Traditional).

Adding updates (version or bullet points) to the NEWS.md
    file.

Implements the routines to compare the survival curves with recurrent events, including the estimations of survival curves. The first model is a  model for recurrent event, when the data are correlated or not  correlated. It was proposed by Wang and Chang (1999) <doi:10.2307/2669690>. In the independent case, the survival function can be  estimated by the generalization of the limit product model of Pena (2001) <doi:10.1198/016214501753381922>.

Novel responsive tools for developing R based 'Shiny' dashboards and applications. The scripts and style sheets are based on 'jQuery' <https://jquery.com/> and 'Bootstrap' <https://getbootstrap.com/>.

Exploration and analysis of compositional data in the
    framework of Aitchison (1986, ISBN: 978-94-010-8324-9). This package
    provides tools for chemical fingerprinting and source tracking of
    ancient materials.

Indices, heuristics, simulations and strategies to help determine the number of factors/components to retain in exploratory factor 
       analysis and principal component analysis.

Provides utility functions to facilitate the use of R within nf-core modules. 
    The package helps parse 'Nextflow' inputs and perform validation checks to ensure 
    correct parameter handling and reproducible execution.
    For more details see Ewels (2020) <doi:10.1038/s41587-020-0439-x>.

This is the R API for the 'nfer' formalism (<http://nfer.io/>).
    'nfer' was developed to specify event stream abstractions for spacecraft 
    telemetry such as the Mars Science Laboratory.  Users write rules using 
    a syntax that borrows heavily from Allen's Temporal Logic that, when 
    applied to an event stream, construct a hierarchy of temporal intervals 
    with data.  The R API supports loading rules from a file or mining them 
    from historical data.  Traces of events or pools of intervals are 
    provided as data frames.