testSpatialAutocorrelation

an object with simulated residuals created by <code><a rd-options="" href="/link/simulateResiduals?package=DHARMa&version=0.1.3" data-mini-rdoc="DHARMa::simulateResiduals">simulateResiduals</a></code>

simulationOutput

the x coordinate, in the same order as the data points. If set to "random", random values will be created

plot


This function performs a standard test for spatial autocorrelation on the simulated residuals


The 'DHARMa' package uses a simulation-based approach to create
readily interpretable scaled (quantile) residuals for fitted generalized linear mixed
models. Currently supported are generalized linear mixed models from 'lme4'
(classes 'lmerMod', 'glmerMod'), generalized additive models ('gam' from 'mgcv'),
'glm' (including 'negbin' from 'MASS', but excluding quasi-distributions) and 'lm' model
classes. Alternatively, externally created simulations, e.g. posterior predictive simulations
from Bayesian software such as 'JAGS', 'STAN', or 'BUGS' can be processed as well.
The resulting residuals are standardized to values between 0 and 1 and can be interpreted
as intuitively as residuals from a linear regression. The package also provides a number of
plot and test functions for typical model misspecification problems, such as
over/underdispersion, zero-inflation, and residual spatial and temporal autocorrelation.

Florian Hartig

DHARMa

Residual Diagnostics for Hierarchical (Multi-Level / Mixed)
Regression Models

testSpatialAutocorrelation function

an object with simulated residuals created by <code><a rd-options='' href='simulateResiduals'>simulateResiduals</a></code>

testSpatialAutocorrelation: Test for spatial autocorrelation

Description

Usage

Arguments

Details

See Also