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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "merDeriv" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'merDeriv: Case-Wise and Cluster-Wise Derivatives for Mixed Effects Models'
version: 0.2-5
doi: 10.18637/jss.v087.c01
identifiers:
- type: doi
  value: 10.32614/CRAN.package.merDeriv
abstract: 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:
- family-names: Wang
  given-names: Ting
  email: szpku.grady@gmail.com
- family-names: Merkle
  given-names: Edgar
  email: merklee@missouri.edu
  orcid: https://orcid.org/0000-0001-7158-0653
preferred-citation:
  type: article
  title: 'merDeriv: Derivative Computations for Linear Mixed Effects Models with Application
    to Robust Standard Errors'
  authors:
  - family-names: Wang
    given-names: Ting
    email: twb8d@mail.missouri.edu
  - family-names: Merkle
    given-names: Edgar C.
    email: merklee@missouri.edu
  journal: Journal of Statistical Software, Code Snippets
  year: '2018'
  volume: '87'
  issue: '1'
  doi: 10.18637/jss.v087.c01
  start: '1'
  end: '16'
repository: https://nctingwang.r-universe.dev
repository-code: https://github.com/nctingwang/merDeriv
commit: c118e18b98d25907aaa4d3183eed0919665cbc7d
url: https://github.com/nctingwang/merDeriv
contact:
- family-names: Wang
  given-names: Ting
  email: szpku.grady@gmail.com