The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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 
[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 |
Documentation:
Downloads:
Reverse dependencies:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=merDeriv
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.