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.
Version: | 0.4.1 |
Depends: | R (≥ 3.0.2) |
Imports: | stats, graphics, utils, grDevices, parallel, doParallel, foreach, gap, lmtest, ape, qgam (≥ 1.3.2), lme4 |
Suggests: | knitr, testthat, rmarkdown, KernSmooth, sfsmisc, MASS, mgcv, glmmTMB (≥ 1.0.1), spaMM (≥ 3.2.0), GLMMadaptive |
Published: | 2021-04-08 |
Author: | Florian Hartig |
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: | README NEWS |
CRAN checks: | DHARMa results |
Reference manual: | DHARMa.pdf |
Vignettes: |
Vignette for the DHARMa package DHARMa for Bayesians |
Package source: | DHARMa_0.4.1.tar.gz |
Windows binaries: | r-devel: DHARMa_0.4.1.zip, r-release: DHARMa_0.4.1.zip, r-oldrel: DHARMa_0.4.0.zip |
macOS binaries: | r-release: DHARMa_0.4.1.tgz, r-oldrel: DHARMa_0.4.1.tgz |
Old sources: | DHARMa archive |
Reverse imports: | BayesianTools, insurancerating |
Reverse suggests: | GLMMadaptive, glmmTMB, phyr |
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