Case-Wise and Cluster-Wise Derivatives for Mixed Effects Models

Compute case-wise and cluster-wise derivative for mixed effects models with respect to fixed effects parameter, random effect (co)variances, and residual variance.


merDeriv is a free, open source R package for computing derivatives of mixed models estimated via lme4. Allows users to compute scores (casewise first derivatives of likelihood function) and variance-covariance matrix of all estimated parameters, including random effect (co)variances.

For further information, see:

Wang, T. & Merkle, E. C. (2018). Derivative Computations and Robust Standard Errors for Linear Mixed Effects Models in lme4.. Journal of Statistical Software, 16(9), 1–16.

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Reference manual

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install.packages("merDeriv")

0.1-7 by Ting Wang, 5 months ago


http://semtools.r-forge.r-project.org


Browse source code at https://github.com/cran/merDeriv


Authors: Ting Wang [aut, cre] , Edgar Merkle [aut] , Yves Rosseel [ctb]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports utils, Matrix

Depends on lme4, stats, methods, nonnest2, sandwich, lavaan


Suggested by tram.


See at CRAN