merDeriv: 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. This material is partially based on work supported by the National Science Foundation under Grant Number 1460719.

Version: 0.2-4
Depends: R (≥ 3.2.3), lme4 (≥ 1.1-10), stats, methods, nonnest2, sandwich, lavaan
Imports: utils, Matrix, numDeriv
Suggests: tinytest, mirt, lmeInfo
Published: 2022-03-11
DOI: 10.32614/CRAN.package.merDeriv
Author: Ting Wang [aut, cre], Edgar Merkle ORCID iD [aut], Yves Rosseel [ctb]
Maintainer: Ting Wang <szpku.grady at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: merDeriv citation info
Materials: README
In views: MixedModels
CRAN checks: merDeriv results


Reference manual: merDeriv.pdf


Package source: merDeriv_0.2-4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): merDeriv_0.2-4.tgz, r-oldrel (arm64): merDeriv_0.2-4.tgz, r-release (x86_64): merDeriv_0.2-4.tgz, r-oldrel (x86_64): merDeriv_0.2-4.tgz
Old sources: merDeriv archive

Reverse dependencies:

Reverse imports: varTestnlme
Reverse suggests: cvms, lme4, lmeInfo, parameters, see, tram


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