Resumen de Local Distance-Based Generalized Linear Models using the dbstats package for R
Eva Boj del Val, Pedro Delicado, José Fortiana Gregori, Anna Esteve Enrech, Adrià Caballé Mestres
This paper introduces local distance-based generalized linear models. These models extend (weighted) distance-based linear models firstly with the generalized linear model concept, then by localizing. Distances between individuals are the only predictor information needed to fit these models. Therefore they are applicable to mixed (qualitative and quantitative) explanatory variables or when the regressor is of functional type. Models can be fitted and analysed with the R package dbstats, which implements several distancebased prediction methods.
