The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

DHARMa - Residual Diagnostics for HierARchical Models

The DHARMa package creates readily interpretable residuals for generalized linear (mixed) models that are standardized to values between 0 and 1. This is achieved by a simulation-based approach, similar to the Bayesian p-value or the parametric bootstrap: 1) simulate new data from the fitted model 2) from this simulated data, calculate the cummulative density function 3) residual is the value of the empirical density function at the value of the observed data.

The package includes various functions that deal with issues such as

• Misfit
• Heteroscedasticity
• Under/Overdispersion
• Zero-inflation
• Residual temporal autocorrelation
• Residual spatial autocorrelation
• Residual phylogenetic autocorrelation

To get more information, install the package and run

library(DHARMa)
?DHARMa
vignette("DHARMa", package="DHARMa")

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.