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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 "tidyLPA" in publications use:'
type: software
license: MIT
title: 'tidyLPA: Easily Carry Out Latent Profile Analysis (LPA) Using Open-Source
  or Commercial Software'
version: 2.0.0
doi: 10.21105/joss.00978
identifiers:
- type: doi
  value: 10.32614/CRAN.package.tidyLPA
abstract: Easily carry out latent profile analysis ("LPA"), determine the correct
  number of classes based on best practices, and tabulate and plot the results. Provides
  functionality to estimate commonly-specified models with free means, variances,
  and covariances for each profile. Follows a tidy approach, in that output is in
  the form of a data frame that can subsequently be computed on. Models can be estimated
  using the free open source 'R' packages 'Mclust' and 'OpenMx', or using the commercial
  program 'MPlus', via the 'MplusAutomation' package.
authors:
- family-names: Rosenberg
  given-names: Joshua M
  email: jmrosenberg@utk.edu
- family-names: Lissa
  given-names: Caspar
  name-particle: van
  email: c.j.vanlissa@uu.nl
preferred-citation:
  type: article
  title: 'tidyLPA: An R Package to Easily Carry Out Latent Profile Analysis (LPA)
    Using Open-Source or Commercial Software'
  authors:
  - family-names: Rosenberg
    given-names: Joshua M.
  - family-names: Beymer
    given-names: Patrick N.
  - family-names: Anderson
    given-names: Daniel J.
  - family-names: Van Lissa
    given-names: Caspar J.
  - family-names: Schmidt
    given-names: Jennifer A.
  journal: Journal of Open Source Software
  year: '2018'
  volume: '3'
  issue: '30'
  url: https://joss.theoj.org/papers/10.21105/joss.00978
  doi: 10.21105/joss.00978
  start: '978'
repository: https://cjvanlissa.r-universe.dev
repository-code: https://github.com/data-edu/tidyLPA
commit: e62d7a92eb4877dead2159f4d40c778524f1a448
url: https://data-edu.github.io/tidyLPA/
contact:
- family-names: Rosenberg
  given-names: Joshua M
  email: jmrosenberg@utk.edu