Estimate location-shift models or rating-scale models accounting for response styles (RSRS) for the regression analysis of ordinal responses.

Functions for extracting text and tables from 
  PDF-based order documents. It provides an n-gram-based approach for identifying 
  the language of an order document. It furthermore uses R-package 'pdftools' to 
  extract the text from an order document. In the case that the PDF document is 
  only including an image (because it is scanned document), R package 'tesseract' 
  is used for OCR. Furthermore, the package provides functionality for identifying 
  and extracting order position tables in order documents based on a clustering approach.

Bindings, methods, and tuners for using ordinal classification
    models with the 'parsnip' and 'dials' packages. These include
    the regularized elastic net ordinal regression
    of Wurm, Hanlon, and Rathouz (2021) <doi:10.18637/jss.v099.i06>
    in 'ordinalNet',
    the ordinal classification trees
    of Galimberti, Soffritti, and Di Maso (2012) <doi:10.18637/jss.v047.i10>
    in 'rpartScore', and
    the latent variable ordinal forests
    of Hornung (2020) <doi:10.1007/s00357-018-9302-x>
    in 'ordinalForest'.

Functions to test/check/verify/investigate the ordering of vectors. 
    The 'is_[strictly_]*' family of functions test vectors for 
    'sorted', 'monotonic', 'increasing', 'decreasing' order; 'is_constant' 
    and 'is_incremental' test for the degree of ordering. `ordering` 
    provides a numeric indication of ordering -2 (strictly decreasing) to 
    2 (strictly increasing).

Distributed reproducible computing framework, adopting
    ideas from git, docker and other software.  By defining a
    lightweight interface around the inputs and outputs of an
    analysis, a lot of the repetitive work for reproducible research
    can be automated.  We define a simple format for organising and
    describing work that facilitates collaborative reproducible
    research and acknowledges that all analyses are run multiple times
    over their lifespans.