Delta Measurement of Agreement for Nominal Data
c(
person(given = "Ana D.",
family = "Maldonado",
role = c("aut","cre"),
email = "ana.d.maldonado@ual.es",
comment = c(ORCID = "0000-0001-8253-2526")),
person(given = "Pedro",
family = "Femia Marzo",
role = c("aut"),
email = "pfemia@ugr.es",
comment = c(ORCID = "0000-0002-1746-5619")),
person(given = "Antonio",
family = "Martín Andrés",
role = c("aut"),
email = "amartina@ugr.es",
comment = c(ORCID = "0000-0002-2548-2638")))
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.
shiny, shinyMatrix, xtable, shinyBS, knitr
Ana D. Maldonado [aut, cre] (<https://orcid.org/0000-0001-8253-2526>),
Pedro Femia Marzo [aut] (<https://orcid.org/0000-0002-1746-5619>),
Antonio Martín Andrés [aut] (<https://orcid.org/0000-0002-2548-2638>)

Functions to calculate relatedness on diploid genetic data
Functions to calculate pairwise relatedness on diploid
genetic datasets. Different estimators for relatedness can be
combined with information on geographical distances.
Information on heterozygosity, allele- and genotype diversity
as well as genetic F-statistics are provided for each
population.

Functions to calculate pairwise relatedness on diploid genetic datasets. Different estimators for relatedness can be combined with information on geographical distances. Information on heterozygosity, allele- and genotype diversity as well as genetic F-statistics are provided for each population.
Philipp Kraemer [aut, cre],
Gabriele Gerlach [aut]