Package: merDeriv 0.2-5

Ting Wang

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.

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

merDeriv_0.2-5.tar.gz
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merDeriv_0.2-5.tgz(r-4.4-any)merDeriv_0.2-5.tgz(r-4.3-any)
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merDeriv.pdf |merDeriv.html
merDeriv/json (API)

# Install 'merDeriv' in R:
install.packages('merDeriv', repos = c('https://nctingwang.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/nctingwang/merderiv/issues

On CRAN:

8 exports 3 stars 1.68 score 20 dependencies 2 dependents 46 scripts 3.7k downloads

Last updated 2 years agofrom:c118e18b98. Checks:OK: 5 NOTE: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 02 2024
R-4.5-winNOTESep 02 2024
R-4.5-linuxNOTESep 02 2024
R-4.4-winOKSep 02 2024
R-4.4-macOKSep 02 2024
R-4.3-winOKSep 02 2024
R-4.3-macOKSep 02 2024

Exports:bread.glmerModbread.lmerModestfun.glmerModestfun.lmerModllcont.glmerModllcont.lmerModvcov.glmerModvcov.lmerMod

Dependencies:bootCompQuadFormlatticelavaanlme4MASSMatrixminqamnormtmvtnormnlmenloptrnonnest2numDerivpbivnormquadprogRcppRcppEigensandwichzoo