Data wrangling, pre-processing, and generating automated reports 
    from Colombia's epidemiological surveillance system, 
    'SIVIGILA' <https://portalsivigila.ins.gov.co/>. It provides a 
    customizable R Markdown template for analysis and automatic 
    generation of epidemiological reports that can be adapted to local, 
    regional, and national contexts. This tool offers a standardized and 
    reproducible workflow that helps to reduce manual labor and potential 
    errors in report generation, improving their efficiency and consistency.

An iterative feature selection method that internally utilizes
    various Machine Learning methods that have embedded feature reduction in
    order to shrink down the feature space into a small and yet robust set.

Functions and utilities to perform
    Statistical Analyses in the Six Sigma way.
    Through the DMAIC cycle (Define, Measure, Analyze, Improve, Control),
    you can manage several Quality Management studies:
    Gage R&R, Capability Analysis, Control Charts, Loss Function Analysis,
    etc. Data frames used in the books "Six Sigma with R" [ISBN 978-1-4614-3652-2]
    and "Quality Control with R" [ISBN 978-3-319-24046-6], 
    are also included in the package.

An opinionated interface to Amazon Web Services <https://aws.amazon.com>, 
    with functions for interacting with 'IAM' (Identity and Access Management),
    'S3' (Simple Storage Service), 'RDS' (Relational Data Service), Redshift, and Billing.
    Lower level functions ('aws_' prefix) are for do it yourself workflows, while
    higher level functions ('six_' prefix) automate common tasks.

Estimate morphometric and gonadal size at sexual maturity for organisms, usually fish and invertebrates. It includes methods for classification based on relative growth (using principal components analysis, hierarchical clustering, discriminant analysis), logistic regression (Frequentist or Bayes), parameters estimation and some basic plots.

Calculates and plots the SiZer map for scatterplot data.  A 
  SiZer map is a way of examining when the p-th derivative of a 
  scatterplot-smoother is significantly negative, possibly zero or 
  significantly positive across a range of smoothing bandwidths.