ensureDHARMa

a DHARMa simulation output or an object that can be converted into a DHARMa simulation output

simulationOutput

if TRUE, attempts to convert model + numeric to DHARMa, if "Model", converts only supported models to DHARMa

convert

Ensures that an object is of class DHARMa

internal

The 'DHARMa' package uses a simulation-based approach to create
readily interpretable scaled (quantile) residuals for fitted (generalized) linear mixed
models. Currently supported are linear and generalized linear (mixed) models from 'lme4'
(classes 'lmerMod', 'glmerMod'), 'glmmTMB' 'GLMMadaptive' and 'spaMM', generalized additive models
('gam' from 'mgcv'), 'glm' (including 'negbin' from 'MASS', but excluding quasi-distributions) and
'lm' model classes. Moreover, 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.

ensureDHARMa: Ensures that an object is of class DHARMa

Description

Usage

Arguments

Value

Details