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STDGLM

R package: Spatio-Temporal Dynamic Generalized Linear Models (STDGLM) by Carlo Zaccardi

The STDGLM package provides a framework for fitting spatio-temporal dynamic generalized linear models. These models are useful for analyzing data that varies over both space and time, allowing for the incorporation of spatial and temporal dependencies in the modeling process. The package provides functions for fitting these models, as well as tools for visualizing and interpreting the results.

Installation 

if (!requireNamespace("devtools", quietly = TRUE)) {
  install.packages("devtools")
  require(devtools)
}
devtools::install_github("czaccard/STDGLM")

Quick Usage Example 

data(ApuliaAQ)
p = length(unique(ApuliaAQ$AirQualityStation)) # 51
t = length(unique(ApuliaAQ$time))              # 365

# distance matrix
W = as.matrix(dist(cbind(ApuliaAQ$Longitude[1:p], ApuliaAQ$Latitude[1:p])))

# response variable: temperature
y = matrix(ApuliaAQ$CL_t2m, p, t)
# covariates (intercept + altitude)
X = array(1, dim = c(p, t, 2))
X[,,2] = matrix(ApuliaAQ$Altitude, p, t)

mod <- stdglm(y=y, X=X, W=W)

TO-DO