# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "rxode2parse" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'rxode2parse: Parsing and Code Generation Functions for ''rxode2'''
version: 2.0.19
identifiers:
- type: doi
  value: 10.32614/CRAN.package.rxode2parse
- type: url
  value: https://github.com/nlmixr2/rxode2parse/
abstract: Provides the parsing needed for 'rxode2' (Wang, Hallow and James (2016)
  <https://doi.org/10.1002/psp4.12052>). It also provides the 'stan' based advan linear
  compartment model solutions with gradients (Carpenter et al (2015), <https://doi.org/10.48550/arXiv.1509.07164>)
  needed in 'nlmixr2' (Fidler et al (2019) <https://doi.org/10.1002/psp4.12445>).
  This split will reduce computational burden of recompiling 'rxode2'.
authors:
- family-names: Fidler
  given-names: Matthew L.
  email: matthew.fidler@gmail.com
  orcid: https://orcid.org/0000-0001-8538-6691
- family-names: Wang
  given-names: Wenping
  email: wwang8198@gmail.com
preferred-citation:
  type: article
  title: 'A Tutorial on RxODE: Simulating Differential Equation Pharmacometric Models
    in R'
  authors:
  - family-names: Wang
    given-names: Wenping
    email: wwang8198@gmail.com
  - family-names: Hallow
    given-names: K Melissa
  - family-names: James
    given-names: David A
  journal: 'CPT: Pharmacometrics \& Systems Pharmacology'
  year: '2015'
  volume: '5'
  issue: '1'
  month: '11'
  abstract: This tutorial presents the application of an R package, RxODE, that facilitates
    quick, efficient simulations of ordinary differential equation models completely
    within R. Its application is illustrated through simulation of design decision
    effects on an adaptive dosing regimen. The package provides an efficient, versatile
    way to specify dosing scenarios and to perform simulation with variability with
    minimal custom coding. Models can be directly translated to Rshiny applications
    to facilitate interactive, real-time evaluation/iteration on simulation scenarios.
  issn: 2163-8306
  publisher:
    name: John Wiley and Sons Inc.
    address: Hoboken
  url: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4728294/
  start: '3'
  end: '10'
repository: https://cranhaven.r-universe.dev
repository-code: https://github.com/nlmixr2/rxode2parse/issues/
commit: 02fc701f938fbada33082cd2efc2bcd40706e904
url: https://nlmixr2.github.io/rxode2parse/
date-released: '2024-05-25'
contact:
- family-names: Fidler
  given-names: Matthew L.
  email: matthew.fidler@gmail.com
  orcid: https://orcid.org/0000-0001-8538-6691