Package: merDeriv 0.2-6

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_0.2-6.tar.gz
merDeriv_0.2-6.zip(r-4.7-any)merDeriv_0.2-6.zip(r-4.6-any)merDeriv_0.2-6.zip(r-4.5-any)
merDeriv_0.2-6.tgz(r-4.6-any)merDeriv_0.2-6.tgz(r-4.5-any)
merDeriv_0.2-6.tar.gz(r-4.7-any)merDeriv_0.2-6.tar.gz(r-4.6-any)
merDeriv_0.2-6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
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:

7.01 score 6 stars 3 packages 111 scripts 11k downloads 8 exports 24 dependencies

Last updated from:2e6ad224c6. Checks:8 OK, 1 ERROR. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK201
source / vignettesOK222
linux-release-x86_64ERROR194
macos-release-arm64OK111
macos-oldrel-arm64OK111
windows-develOK220
windows-releaseOK254
windows-oldrelOK272
wasm-releaseOK125

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

Dependencies:bootCompQuadFormlatticelavaanlme4MASSMatrixminqamnormtmvtnormnlmenloptrnonnest2numDerivpbivnormquadprogrbibutilsRcppRcppEigenRdpackreformulasrlangsandwichzoo