Convert laboratory data to the Portuguese Information System 
    for Water Resources 'SNIRH' file format. 'SNIRH' is Portugal's national 
    water resources information system <https://snirh.apambiente.pt/>. 
    The package validates station data, converts parameters and units, 
    and generates compliant output files for data submission.

Implement K-nearest neighbor classifier, weighted nearest neighbor classifier, bagged nearest neighbor classifier, optimal weighted nearest neighbor classifier and stabilized nearest neighbor classifier, and perform model selection via 5 fold cross-validation for them. This package also provides functions for computing the classification error and classification instability of a classification procedure.

Programmatic interface to the 'SNOTEL' snow data
  (<https://www.nrcs.usda.gov/programs-initiatives/sswsf-snow-survey-and-water-supply-forecasting-program>). Provides easy downloads of snow 
  data into your R work space or a local directory. Additional post-processing 
  routines to extract snow season indexes are provided.

Support for simple parallel computing in R.

An R interface to the C 'libstemmer' library that implements
  Porter's word stemming algorithm for collapsing words to a common
  root to aid comparison of vocabulary. Currently supported languages are
  Arabic, Basque, Catalan, Danish, Dutch, English, Finnish, French, German, Greek,
  Hindi, Hungarian, Indonesian, Irish, Italian, Lithuanian, Nepali,
  Norwegian, Portuguese, Romanian, Russian, Spanish, Swedish, Tamil
  and Turkish.

Functions for analysis of network objects, which are imported or simulated by the package. The non-parametric methods of analysis center on snowball and bootstrap sampling for estimating functions of network degree distribution. For other parameters of interest, see, e.g., 'bootnet' package.

Provides historical datasets related to John Snow's 1854 cholera outbreak study in London. Includes data on cholera cases, water pump locations, and the street layout, enabling analysis and visualisation of the outbreak.