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Source: r-cran-dharma
Maintainer: Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
Uploaders: Michael R. Crusoe <crusoe@debian.org>
Section: gnu-r
Priority: optional
Build-Depends: debhelper-compat (= 13),
dh-r,
r-base-dev,
r-cran-matrix,
r-cran-gap,
r-cran-lmtest,
r-cran-ape,
r-cran-qgam,
r-cran-lme4
Standards-Version: 4.7.0
Vcs-Browser: https://salsa.debian.org/r-pkg-team/r-cran-dharma
Vcs-Git: https://salsa.debian.org/r-pkg-team/r-cran-dharma.git
Homepage: https://cran.r-project.org/package=DHARMa
Rules-Requires-Root: no
Package: r-cran-dharma
Architecture: all
Depends: ${R:Depends},
${misc:Depends}
Recommends: ${R:Recommends}
Suggests: ${R:Suggests}
Description: 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.
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