Package: merDeriv
Title: Case-Wise and Cluster-Wise Derivatives for Mixed Effects Models
Version: 0.2-5
Authors@R: c(person(given = "Ting", family = "Wang",
                    role = c("aut", "cre"),
                    email = "szpku.grady@gmail.com"),
             person(given = "Edgar", family = "Merkle",
                    role  = "aut",
                    email = "merklee@missouri.edu",
                    comment = c(ORCID = "0000-0001-7158-0653")),
	     person(given = "Yves", family = "Rosseel",
	            role = "ctb")
            )
Description: 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.
Depends: R (>= 3.2.3), lme4 (>= 1.1-10), stats, methods, nonnest2,
        sandwich, lavaan
Imports: utils, Matrix, numDeriv
License: GPL (>= 2)
URL: https://github.com/nctingwang/merDeriv
NeedsCompilation: no
Maintainer: Ting Wang <szpku.grady@gmail.com>
Suggests: tinytest, mirt, lmeInfo
Config/pak/sysreqs: cmake make
Repository: https://nctingwang.r-universe.dev
Date/Publication: 2025-06-11 02:21:37 UTC
RemoteUrl: https://github.com/nctingwang/merderiv
RemoteRef: HEAD
RemoteSha: 1a0f4601ee1406dd4d3cb31859fdbb5e59f9bf36
Packaged: 2026-06-06 09:17:28 UTC; root
Author: Ting Wang [aut, cre],
  Edgar Merkle [aut] (ORCID: <https://orcid.org/0000-0001-7158-0653>),
  Yves Rosseel [ctb]