DHARMa: Residual Diagnostics for Hierarchical (Multi-Level / Mixed)
Regression Models
"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."
| Version: |
0.5.0 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
stats, graphics, utils, grDevices, Matrix, parallel, gap, lmtest, ape, qgam (≥ 1.3.2), lme4 |
| Suggests: |
knitr, testthat (≥ 3.0.0), rmarkdown, KernSmooth, sfsmisc, MASS, mgcv, mgcViz (≥ 0.1.9), spaMM (≥ 3.2.0), GLMMadaptive, glmmTMB (≥ 1.1.2.3), phylolm (≥ 2.6.5), brms |
| Enhances: |
rstan, phyr, rjags, BayesianTools |
| Published: |
2026-06-01 |
| DOI: |
10.32614/CRAN.package.DHARMa |
| Author: |
Florian Hartig 
[aut, cre],
Lukas Lohse [ctb],
Melina de Souza Leite
[ctb],
Cosmina Werneke
[ctb] |
| Maintainer: |
Florian Hartig <florian.hartig at biologie.uni-regensburg.de> |
| BugReports: |
https://github.com/florianhartig/DHARMa/issues |
| License: |
GPL (≥ 3) |
| URL: |
http://florianhartig.github.io/DHARMa/ |
| NeedsCompilation: |
no |
| Materials: |
NEWS |
| In views: |
MixedModels |
| CRAN checks: |
DHARMa results |
Documentation:
Downloads:
Reverse dependencies:
| Reverse imports: |
AssumpSure, BayesianTools, bizicount, eDITH, insurancerating, regressinator, rfriend, RMeDPower2, seqwrap |
| Reverse suggests: |
DOTSeq, dsem, easystats, ecostats, ewp, GLMMadaptive, GLMMcosinor, glmmTMB, performance, phyr, qbrms, qra, sdmTMB, see, tinyVAST |
| Reverse enhances: |
lme4 |
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