Ecological Metadata Language or 'EML' is a long-established format
  for describing ecological datasets to facilitate sharing and re-use. Because
  'EML' is effectively a modified 'xml' schema, however, it is challenging to 
  write and manipulate for non-expert users. 'delma' supports users to write 
  metadata statements in 'R Markdown' or 'Quarto markdown' format, and parse 
  them to 'EML' and (optionally) back again.

Measure of agreement delta was originally by Martín & Femia (2004) <DOI:10.1348/000711004849268>. 
    Since then has been considered as agreement measure for different 
    fields, since their behavior is usually better than the usual kappa index
    by Cohen (1960) <DOI:10.1177/001316446002000104>. The main issue with delta 
    is that can not be computed by hand contrary to kappa. The current algorithm
    is based on the Version 5 of the delta windows program that can be found on
    <https://www.ugr.es/~bioest/software/delta/cmd.php?seccion=downloads>.

Infer progression of circadian rhythms in transcriptome data in
  which samples are not labeled with time of day and coverage of the circadian
  cycle may be incomplete. See Shilts et al. (2018) <doi:10.7717/peerj.4327>.

Analysis of agreement for nominal data between two raters using the Delta model. This model is proposed as an alternative to the widespread measure Cohen kappa coefficient, which performs poorly when the marginal distributions are very asymmetric (Martin-Andres and Femia-Marzo (2004), <doi:10.1348/000711004849268>; Martin-Andres and Femia-Marzo (2008) <doi:10.1080/03610920701669884>). The package also contains a function to perform a massive analysis of multiple raters against a gold standard. A shiny app is also provided to obtain the measures of nominal agreement between two raters.

The deltaPlotR package implements Angoff's Delta Plot method to detect dichotomous DIF. Several detection thresholds are included, either from multivariate normality assumption or by prior determination. Item purification is supported (Magis and Facon (2014) <doi:10.18637/jss.v059.c01>).