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cff-version: 1.2.0
message: 'To cite package "DHARMa" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'DHARMa: Residual Diagnostics for Hierarchical (Multi-Level / Mixed) Regression
  Models'
version: 0.4.7
doi: 10.32614/CRAN.package.DHARMa
abstract: 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.
authors:
- family-names: Hartig
  given-names: Florian
  email: florian.hartig@biologie.uni-regensburg.de
  orcid: https://orcid.org/0000-0002-6255-9059
repository: https://staffanbetner.r-universe.dev
repository-code: https://github.com/florianhartig/DHARMa
commit: 53172bb52d2ff7dadbda560a84135f7355006b63
url: http://florianhartig.github.io/DHARMa/
date-released: '2024-10-16'
contact:
- family-names: Hartig
  given-names: Florian
  email: florian.hartig@biologie.uni-regensburg.de
  orcid: https://orcid.org/0000-0002-6255-9059