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'; 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, phylogenetic and temporal autocorrelation.
Version: 0.4.7 Depends: R (≥ 3.0.2) 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) Enhances: phyr, rstan, rjags, BayesianTools Published: 2024-10-18 DOI: 10.32614/CRAN.package.DHARMa Author: Florian Hartig [aut, cre], Lukas Lohse [ctb], Melina de Souza leite [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: README NEWS In views: MixedModels CRAN checks: DHARMa results Documentation: Downloads: Reverse dependencies: Reverse imports: BayesianTools, bizicount, eDITH, insurancerating, regressinator Reverse suggests: dsem, easystats, ecostats, ewp, GLMMadaptive, GLMMcosinor, glmmTMB, performance, phyr, qra, sdmTMB, see, tinyVAST Linking:Please use the canonical form https://CRAN.R-project.org/package=DHARMa to link to this page.
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