Composite Likelihood Estimation for Spatial Data
Composite Likelihood Calculation for Spatial Ordinal Data
Reparameterized Composite Likelihood Calculation for Spatial Ordinal D...
Composite Likelihood Calculation for Spatial Proportional Data
Composite Likelihood Estimation for Spatial Ordinal Data
Composite Likelihood Estimation for Spatial Proportional Data
Latent Response Transformation for Spatial Ordinal Data
Latent Response Transformation for Proportional Data
Composite likelihood approach is implemented to estimating statistical models for spatial ordinal and proportional data based on Feng et al. (2014) <doi:10.1002/env.2306>. Parameter estimates are identified by maximizing composite log-likelihood functions using the limited memory BFGS optimization algorithm with bounding constraints, while standard errors are obtained by estimating the Godambe information matrix.