Comparison Of Multilevel Model And Its Statistical Diagnostics

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SOFTWARE PACKAGES IN R FOR DIAGNOSING MULTI-LEVEL MODEL Used for linear mixed model diagnostics. Misspecification is a major problem when using usual residual statistics such as Pearson and Response in the multi-level modelling.

Residplo t Used for the diagnostics for hierarchical models.

a Unusual pattern in the data are identified using the residual vs the predicted plots.

di a H LM

M AR DH

Overcomes the drawback of residplot package and gives a straightforward method as in linear regression models.

g

Used for residual diagnostics of GLMMs.

Provides deletion diagnostics with the help of distance based metrics such as Cook’s distance, COVratio, COVtrace and MDFFITS. Allows the user to obtain the residuals through least square estimates or bayes estimates. Also allows the user to obtain various residuals using marginal, conditional distributions.

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