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:

7.04 score 6 stars 3 packages 111 scripts 12k downloads 8 exports 23 dependencies

Last updated from:2e6ad224c6. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK204
source / vignettesOK209
linux-releaseOK213
macos-releaseOK195
macos-oldrelOK196
windows-develOK155
windows-releaseOK192
windows-oldrelOK197
wasm-releaseOK121

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

Dependencies:bootCompQuadFormlatticelavaanlme4MASSMatrixminqamnormtmvtnormnlmenloptrnonnest2numDerivpbivnormquadprogrbibutilsRcppRcppEigenRdpackreformulassandwichzoo