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
merDeriv_0.2-5.zip(r-4.5)merDeriv_0.2-5.zip(r-4.4)merDeriv_0.2-5.zip(r-4.3)
merDeriv_0.2-5.tgz(r-4.4-any)merDeriv_0.2-5.tgz(r-4.3-any)
merDeriv_0.2-5.tar.gz(r-4.5-noble)merDeriv_0.2-5.tar.gz(r-4.4-noble)
merDeriv_0.2-5.tgz(r-4.4-emscripten)merDeriv_0.2-5.tgz(r-4.3-emscripten)
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:

5.26 score 3 stars 2 packages 47 scripts 4.3k downloads 8 exports 20 dependencies

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

TargetResultDate
Doc / VignettesOKNov 19 2024
R-4.5-winNOTENov 19 2024
R-4.5-linuxNOTENov 19 2024
R-4.4-winOKNov 19 2024
R-4.4-macOKNov 19 2024
R-4.3-winOKNov 19 2024
R-4.3-macOKNov 19 2024

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

Dependencies:bootCompQuadFormlatticelavaanlme4MASSMatrixminqamnormtmvtnormnlmenloptrnonnest2numDerivpbivnormquadprogRcppRcppEigensandwichzoo