R package DHARMa. The ’DHARMa’ package uses a simulation-based approach to create readily interpretable scaled (quantile) residuals from fitted generalized linear mixed models. Currently supported are ’lme4’, ’glm’ (except quasi-distributions) and ’lm’ model classes. 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 problem, such as over/underdispersion, zero-inflation, and spatial and temporal autocorrelation.
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References in zbMATH (referenced in 1 article )
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- Piulachs, Xavier; Alemany, Ramon; Guillén, Montserrat; Rizopoulos, Dimitris: Joint models for longitudinal counts and left-truncated time-to event data with applications to health insurance (2017)