Package: DHARMa
Title: Residual Diagnostics for Hierarchical (Multi-Level / Mixed)
        Regression Models
Version: 0.1.5
Date: 2017-03-12
Authors@R: c(person("Florian", "Hartig", email = "florian.hartig@biologie.uni-regensburg.de", role = c("aut", "cre")))
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 generalized linear mixed models from 'lme4' 
    (classes 'lmerMod', 'glmerMod'), generalized additive models ('gam' from 'mgcv'), 
    'glm' (including 'negbin' from 'MASS', but excluding quasi-distributions) and 'lm' model
    classes. Alternatively, 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, gap, qrnn, lmtest, ape,
        sfsmisc, MASS, doParallel, foreach, lme4, mgcv
Suggests: knitr, testthat
License: GPL (>= 3)
URL: http://florianhartig.github.io/DHARMa/
BugReports: https://github.com/florianhartig/DHARMa/issues
LazyData: true
RoxygenNote: 6.0.0
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-03-10 17:19:20 UTC; Florian
Author: Florian Hartig [aut, cre]
Maintainer: Florian Hartig <florian.hartig@biologie.uni-regensburg.de>
Repository: CRAN
Date/Publication: 2017-03-11 00:03:57
Built: R 3.2.5; ; 2017-03-19 06:50:46 UTC; unix
