lm.sac: Linear model taking into account spatial autocorrelation
In axlehner/SpatialInference: Tools for Statistical Inference with Geo-Coded Data
lm.sac R Documentation
Linear model taking into account spatial autocorrelation
Description
ouput is lm.sac/custom object that can be displayed with modelsummary
Usage
lm.sac(
formula.chr,
data.sf,
knn_number = 20,
conley_cutoff = 5,
correlograms = F,
...
)
Arguments
...
axlehner/SpatialInference documentation built on Jan. 28, 2025, 3:19 p.m.
R Package Documentation
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| lm.sac | R Documentation |
Linear model taking into account spatial autocorrelation
Description
ouput is lm.sac/custom object that can be displayed with modelsummary
Usage
lm.sac(
formula.chr,
data.sf,
knn_number = 20,
conley_cutoff = 5,
correlograms = F,
...
)
Arguments
... |
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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