Skip navigation
Por favor, use este identificador para citar o enlazar este ítem: http://uvadoc.uva.es/handle/10324/22836
Título: Dawai: An R Package for Discriminant Analysis With Additional Information
Autor: Conde, David
Fernández, Miguel
Salvador, Bonifacio
Rueda, Cristina
Año del Documento: 2015
Documento Fuente: Journal of Statistical Software. 66(10), pp:1-19
Resumen: The incorporation of additional information into discriminant rules is receiving in- creasing attention as the rules including this information perform better than the usual rules. In this paper we introduce an R package called dawai, which provides the functions that allow to de ne the rules that take into account this additional information expressed in terms of restrictions on the means, to classify the samples and to evaluate the accuracy of the results. Moreover, in this paper we extend the results and de nitions given in previous papers (Fern andez, Rueda, and Salvador 2006, Conde, Fern andez, Rueda, and Salvador 2012, Conde, Salvador, Rueda, and Fern andez 2013) to the case of unequal co- variances among the populations, and consequently de ne the corresponding restricted quadratic discriminant rules. We also de ne estimators of the accuracy of the rules for the general more than two populations case. The wide range of applications of these pro- cedures is illustrated with two data sets from two di erent elds, i.e., biology and pattern recognition.
Revisión por Pares: SI
DOI: dx.doi.org/10.18637/jss.v066.i10
Patrocinador: Spanish Ministerio de Ciencia e Innovación (MTM2012-37129)
Version del Editor: https://www.jstatsoft.org/article/view/v066i10
Idioma: eng
URI: http://uvadoc.uva.es/handle/10324/22836
Derechos: info:eu-repo/semantics/openAccess
Aparece en las colecciones:DEP24 - Artículos de revista

Ficheros en este ítem:
Fichero Descripción TamañoFormato 
Dawai published.pdf515,35 kBAdobe PDFThumbnail
Visualizar/Abrir


Este ítem está sujeto a una licencia Creative Commons Licencia Creative Commons Creative Commons

Comentarios
Universidad de Valladolid
Powered by MIT's. DSpace software, Version 5.5