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-4.7)merDeriv_0.2-5.zip(r-4.6)merDeriv_0.2-5.zip(r-4.5)
merDeriv_0.2-5.tgz(r-4.6-any)merDeriv_0.2-5.tgz(r-4.5-any)
merDeriv_0.2-5.tar.gz(r-4.7-any)merDeriv_0.2-5.tar.gz(r-4.6-any)
merDeriv_0.2-5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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:

6.66 score 6 stars 3 packages 104 scripts 16k downloads 8 exports 24 dependencies

Last updated from:1a0f4601ee. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK213
source / vignettesOK215
linux-release-x86_64OK212
macos-release-arm64OK173
macos-oldrel-arm64OK294
windows-develOK202
windows-releaseOK193
windows-oldrelOK183
wasm-releaseOK112

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

Dependencies:bootCompQuadFormlatticelavaanlme4MASSMatrixminqamnormtmvtnormnlmenloptrnonnest2numDerivpbivnormquadprogrbibutilsRcppRcppEigenRdpackreformulasrlangsandwichzoo