getRefitData

Internal helper for getRefit. Returns a list with the model data (the model frame for models fitted without data), restricted to the rows used in the fit, with the new response in column <code>.DHARMa_response</code>, and the formula with this column as response.

internal

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', 'spaMM', and 'brms'
(simple models); phylogenetic linear models from 'phylolm' (classes 'phylolm' and 'phyloglm');
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, temporal and phylogenetic autocorrelation.

Florian Hartig

DHARMa

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

Lukas Lohse

Melina de Souza Leite

Cosmina Werneke

getRefitData function

<dl><dt>object</dt>
<dd>a fitted model.</dd>
<dt>newresp</dt>
<dd>the new response.</dd>
<dt>rows</dt>
<dd>the rows used in the fit.</dd></dl>

Arguments

Data and formula for refitting a model to a new response — getRefitData

<dl>

<dt>object</dt>
<dd>a fitted model.</dd>


<dt>newresp</dt>
<dd>the new response.</dd>


<dt>rows</dt>
<dd>the rows used in the fit.</dd>

</dl>

getRefitData: Data and formula for refitting a model to a new response

Description

Usage

Arguments