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.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'))

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

On CRAN:

Conda:

5.77 score 5 stars 2 packages 71 scripts 5.5k downloads 8 exports 23 dependencies

Last updated 4 days agofrom:c4d6fad7f4. Checks:6 OK, 3 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 28 2025
R-4.5-winNOTEMar 28 2025
R-4.5-macNOTEMar 28 2025
R-4.5-linuxNOTEMar 28 2025
R-4.4-winOKMar 28 2025
R-4.4-macOKMar 28 2025
R-4.4-linuxOKMar 28 2025
R-4.3-winOKMar 28 2025
R-4.3-macOKMar 28 2025

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

Dependencies:bootCompQuadFormlatticelavaanlme4MASSMatrixminqamnormtmvtnormnlmenloptrnonnest2numDerivpbivnormquadprogrbibutilsRcppRcppEigenRdpackreformulassandwichzoo