(Double) Generalized Linear Models for Spatio-Temporal Data
Fit STARMA Models based on double generalized linear models
Simulate spatial time-series based on double generalized linear models
Load example datasets
Quasi Information Criterion (QIC) for glmstarma and dglmstarma objects
Residuals for glmstarma and dglmstarma Models
Rota Virus Infections in Germany
Variance-Covariance Matrix for glmstarma and dglmstarma objects
Creates a spatial constant covariate
Sea Surface Temperature Anomalies in the Pacific
Families for spatio-temporal GLMs
Summarize a dglmstarma Model
Summarize the results of a glmstarma model
Creates a time constant covariate
Delete cached example datasets
Control Parameters for dglmstarma Fitting
Chickenpox Infections in Hungary
Extract Coefficients of glmstarma and dglmstarma Models
Fitted values for glmstarma Models
Generate spatial weight matrices for simulation
Control Parameters for Simulation of glmstarma Models
glmSTARMA: (Double) Generalized Linear Models for Spatio-Temporal Data
Control Parameters for glmstarma Fitting
Fit STARMA Models based on generalized linear models
Simulate spatial time-series based on generalized linear models
Information Criteria for glmstarma and dglmstarma objects
Fit spatio-temporal models within a (double) generalized linear modelling framework. The package includes functions for estimation, simulation and inference.