mc_compute_rho: Autocorrelation Estimates
In wbonat/mcglm: Multivariate Covariance Generalized Linear Models
Description
Usage
Arguments
Value
Author(s)
Source
See Also
View source: R/mc_compute_rho.R
Description
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.
Usage
1
mc_compute_rho(object, level = 0.975)
Arguments
object
an object or a list of objects representing a model
of mcglm class.
level
the confidence level required.
Value
Returns estimate, standard error and confidential interval for
the spatial autocorrelation parameter.
Author(s)
Wagner Hugo Bonat, wbonat@ufpr.br
Source
Bonat, W. H. (2018). Multiple Response Variables Regression
Models in R: The mcglm Package. Journal of Statistical Software, 84(4):1–30.
See Also
mc_car and mc_conditional_test.
wbonat/mcglm documentation built on June 23, 2020, 11:06 a.m.
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Description Usage Arguments Value Author(s) Source See Also
View source: R/mc_compute_rho.R
Description
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.
Usage
1 | mc_compute_rho(object, level = 0.975)
|
Arguments
object |
an object or a list of objects representing a model
of |
level |
the confidence level required. |
Value
Returns estimate, standard error and confidential interval for the spatial autocorrelation parameter.
Author(s)
Wagner Hugo Bonat, wbonat@ufpr.br
Source
Bonat, W. H. (2018). Multiple Response Variables Regression Models in R: The mcglm Package. Journal of Statistical Software, 84(4):1–30.
See Also
mc_car and mc_conditional_test.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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