View source: R/splm_sim_aggr.R
This function provide model based parameters estiamtion for a geostatical model when spatial data are avialable at a corarser scale than their natural resolution. It is mainly for simulation purposing and testing.
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data |
A numeric vector of spatial data. |
mc_points |
Number of Monte Carlo points to calculate the correlation matrix. |
tau.sq |
Numeric value for the nugger parameter τ^2. |
ncovariates |
Number of covariates to simulate. |
beta |
Values for the beta parameters. |
aggr.cell |
To how many cells the points should be aggregated. |
fix.nugget |
A logical value. Should the nugget be fixed? |
fix.nug |
If fix.nugget = TRUE then a numeric value should be provided. |
ini |
Initial parameters values for the optimisation algorithm. |
message |
If FALSE suppress all the messages from the fitting algorithm. |
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