# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "VWPre" in publications use:'
type: software
license: GPL-3.0-only
title: 'VWPre: Tools for Preprocessing Visual World Data'
version: 1.2.4
identifiers:
- type: doi
  value: 10.32614/CRAN.package.VWPre
abstract: Gaze data from the Visual World Paradigm requires significant preprocessing
  prior to plotting and analyzing the data. This package provides functions for preparing
  visual world eye-tracking data for statistical analysis and plotting. It can prepare
  data for linear analyses (e.g., ANOVA, Gaussian-family LMER, Gaussian-family GAMM)
  as well as logistic analyses (e.g., binomial-family LMER and binomial-family GAMM).
  Additionally, it contains various plotting functions for creating grand average
  and conditional average plots. See the vignette for samples of the functionality.
  Currently, the functions in this package are designed for handling data collected
  with SR Research Eyelink eye trackers using Sample Reports created in SR Research
  Data Viewer. While we would like to add functionality for data collected with other
  systems in the future, the current package is considered to be feature-complete;
  further updates will mainly entail maintenance and the addition of minor functionality.
authors:
- family-names: Porretta
  given-names: Vincent
  email: vincentporretta@gmail.com
- family-names: Kyröläinen
  given-names: Aki-Juhani
preferred-citation:
  type: generic
  title: 'VWPre: Tools for Preprocessing Visual World Data'
  authors:
  - family-names: Porretta
    given-names: Vincent
    email: vincentporretta@gmail.com
  - family-names: Kyröläinen
    given-names: Aki-Juhani
  - family-names: Rij
    given-names: Jacolien
    name-particle: van
  - family-names: Järvikivi
    given-names: Juhani
  url: https://CRAN.R-project.org/package=VWPre
  year: '2016'
  notes: Version 1.2.4, updated 2020-11-28
repository: https://vincentporretta.r-universe.dev
commit: c78085c7af96e16ce68c515c413d0ded0ed33a04
date-released: '2020-11-28'
contact:
- family-names: Porretta
  given-names: Vincent
  email: vincentporretta@gmail.com
references:
- type: conference-paper
  title: 'Visual world paradigm data: From preprocessing to nonlinear time-course
    analysis'
  authors:
  - family-names: Porretta
    given-names: Vincent
  - family-names: Kyröläinen
    given-names: Aki-Juhani
  - family-names: Rij
    given-names: Jacolien
    name-particle: van
  - family-names: Järvikivi
    given-names: Juhani
  collection-title: Intelligent Decision Technologies 2017
  collection-type: proceedings
  year: '2018'
  editors:
  - family-names: Czarnowski
    given-names: Ireneusz
  - family-names: Howlett
    given-names: Robert J.
  - family-names: Jain
    given-names: Lakhmi C.
  issue: '73'
  publisher:
    name: Springer International Publishing
  isbn: 978-3-319-59424-8
  doi: 10.1007/978-3-319-59424-8_25
  start: '268'
  end: '277'
  conference:
    name: Intelligent Decision Technologies 2017
    address: Cham