Datos de temperatura de la estacion pichilingue desde el año 1946 hasta 2020 con una proyeccion hasta el año 2030

Foley

Carozza

Mulligan

Martinez

Dowlen

Alekson

Savard

This study demonstrates the use of the VGAM package in R to fit a vector generalized linear model (VGLM) with synthetic data. Data for 1000 individuals, including ocular pressure and age, was generated and transformed to include mean ocular pressure and linear predictors. Binary outcomes for eye conditions were derived using the logitlink function. The vglm function was used to fit the model with leye and reye as responses and op as the predictor, specifying a binomial family with odds ratio. The model matrix was generated to show the data structure.