merDeriv: Case-Wise and Cluster-Wise Derivatives for Mixed Effects Models (original) (raw)
Compute case-wise and cluster-wise derivative for mixed effects models with respect to fixed effects parameter, random effect (co)variances, and residual variance. This material is partially based on work supported by the National Science Foundation under Grant Number 1460719.
| Version: | 0.2-5 |
|---|---|
| Depends: | R (≥ 3.2.3), lme4 (≥ 1.1-10), stats, methods, nonnest2, sandwich, lavaan |
| Imports: | utils, Matrix, numDeriv |
| Suggests: | tinytest, mirt, lmeInfo |
| Published: | 2025-06-12 |
| DOI: | 10.32614/CRAN.package.merDeriv |
| Author: | Ting Wang [aut, cre], Edgar Merkle  [aut], Yves Rosseel [ctb] |
| Maintainer: | Ting Wang <szpku.grady at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/nctingwang/merDeriv |
| NeedsCompilation: | no |
| Citation: | merDeriv citation info |
| Materials: | README |
| In views: | MixedModels |
| CRAN checks: | merDeriv results |
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