Package: DHARMa
Title: Residual Diagnostics for Hierarchical (Multi-Level / Mixed)
        Regression Models
Version: 0.2.4
Date: 2019-03-05
Authors@R: c(person("Florian", "Hartig", email = "florian.hartig@biologie.uni-regensburg.de", role = c("aut", "cre"), comment = "Theoretical Ecology, University of Regensburg, Regensburg, Germany"))
Description: 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' 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.
Depends: R (>= 3.0.2)
Imports: stats, graphics, utils, grDevices, parallel, doParallel,
        foreach, gap, qrnn, lmtest, ape, sfsmisc, MASS, lme4, mgcv,
        glmmTMB (>= 0.2.1), spaMM (>= 2.6.0)
Suggests: knitr, testthat
License: GPL (>= 3)
URL: http://florianhartig.github.io/DHARMa/
BugReports: https://github.com/florianhartig/DHARMa/issues
LazyData: true
RoxygenNote: 6.1.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-03-05 17:21:21 UTC; florian
Author: Florian Hartig [aut, cre] (Theoretical Ecology, University of
    Regensburg, Regensburg, Germany)
Maintainer: Florian Hartig <florian.hartig@biologie.uni-regensburg.de>
Repository: CRAN
Date/Publication: 2019-03-06 08:30:03 UTC
Built: R 3.4.4; ; 2019-04-25 22:11:38 UTC; windows
