Compute autocorrelation estimates based on a fitted model
using the mc_car structure. The mcglm approach fits
models using a linear covariance structure, but in general in this
parametrization for spatial models the parameters have no simple
interpretation in terms of spatial autocorrelation.
The function mc_compute_rho computes the autocorrelation
based on a fitted model.
mc_compute_rho(object, level = 0.975)
| object | an object or a list of objects representing a model
of |
|---|---|
| level | the confidence level required. |
Bonat, W. H. (2018). Multiple Response Variables Regression Models in R: The mcglm Package. Journal of Statistical Software, 84(4):1--30.
Returns estimate, standard error and confidential interval for the spatial autocorrelation parameter.
mc_car and mc_conditional_test.