Package: r-cran-dharma (0.4.7-1)

[ Source: r-cran-dharma  ]

Residual Diagnostics for Hierarchical (Multi-Level / Mixed)

      Regression Models 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.

Other Packages Related to r-cran-dharma

• dep: r-api-4.0

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• dep: r-cran-ape

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• dep: r-cran-gap

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• dep: r-cran-lme4

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• dep: r-cran-lmtest

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• dep: r-cran-matrix

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• dep: r-cran-qgam (>= 1.3.2)

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• rec: r-cran-testthat (>= 3.0.0)

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• sug: r-cran-glmmtmb (>= 1.1.2.3)

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• sug: r-cran-kernsmooth

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• sug: r-cran-knitr

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• sug: r-cran-mass

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• sug: r-cran-mgcv

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• sug: r-cran-sfsmisc

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