Summarise results from simulation studies and compute Monte Carlo
  standard errors of commonly used summary statistics. This package is modelled 
  on the 'simsum' user-written command in 'Stata' (White I.R., 2010 
  <https://www.stata-journal.com/article.html?article=st0200>), further extending
  it with additional performance measures and functionality.

Easy-to-use functions for downloading air quality data from
    the Mexican National Air Quality Information System (SINAICA).  Allows
    you to query pollution and meteorological parameters from more than a
    hundred monitoring stations located throughout Mexico. See
    <https://sinaica.inecc.gob.mx> for more information.

Provides functions and examples for testing hypothesis about the population mean and variance on samples drawn by r-size biased sampling schemes.

This RSKC package contains a function RSKC which runs the robust sparse K-means clustering algorithm.

Create custom keyboard shortcuts to examine code selected in the 'Rstudio' editor.
             F3 can for example yield 'str(selection)' and F7 open the source
             code of CRAN and base package functions on 'github'.

A toolbox for sleep data processing, visualization and analysis. Tools for state of the art automatic sleep stages scoring.

Implements the "Stemming Algorithm for the Portuguese Language" <DOI:10.1109/SPIRE.2001.10024>.

Functions that simplify submitting R scripts to a 'Slurm' 
    workload manager, in part by automating the division of embarrassingly
    parallel calculations across cluster nodes.

Provides functions to generate response-surface designs, 
    fit first- and second-order response-surface models, 
    make surface plots, obtain the path of steepest ascent, 
    and do canonical analysis. A good reference on these methods 
    is Chapter 10 of Wu, C-F J and Hamada, M (2009) 
    "Experiments: Planning, Analysis, and Parameter Design Optimization"
    ISBN 978-0-471-69946-0. An early version of the package is
    documented in Journal of Statistical Software <doi:10.18637/jss.v032.i07>.