IDEAS home Printed from https://ideas.repec.org/a/jss/jstsof/v042i10.html
   My bibliography  Save this article

poLCA: An R Package for Polytomous Variable Latent Class Analysis

Author

Listed:
  • Linzer, Drew A.
  • Lewis, Jeffrey B.

Abstract

poLCA is a software package for the estimation of latent class and latent class regression models for polytomous outcome variables, implemented in the R statistical computing environment. Both models can be called using a single simple command line. The basic latent class model is a finite mixture model in which the component distributions are assumed to be multi-way cross-classification tables with all variables mutually independent. The latent class regression model further enables the researcher to estimate the effects of covariates on predicting latent class membership. poLCA uses expectation-maximization and Newton-Raphson algorithms to find maximum likelihood estimates of the model parameters.

Suggested Citation

  • Linzer, Drew A. & Lewis, Jeffrey B., 2011. "poLCA: An R Package for Polytomous Variable Latent Class Analysis," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 42(i10).
  • Handle: RePEc:jss:jstsof:v:042:i10
    DOI: http://hdl.handle.net/10.18637/jss.v042.i10
    as

    Download full text from publisher

    File URL: https://www.jstatsoft.org/index.php/jss/article/view/v042i10/v42i10.pdf
    Download Restriction: no

    File URL: https://www.jstatsoft.org/index.php/jss/article/downloadSuppFile/v042i10/poLCA_1.3.1.tar.gz
    Download Restriction: no

    File URL: https://www.jstatsoft.org/index.php/jss/article/downloadSuppFile/v042i10/v42i10.R
    Download Restriction: no

    References listed on IDEAS

    as
    1. Linzer, Drew A., 2011. "Reliable Inference in Highly Stratified Contingency Tables: Using Latent Class Models as Density Estimators," Political Analysis, Cambridge University Press, vol. 19(2), pages 173-187, April.
    2. Bolck, Annabel & Croon, Marcel & Hagenaars, Jacques, 2004. "Estimating Latent Structure Models with Categorical Variables: One-Step Versus Three-Step Estimators," Political Analysis, Cambridge University Press, vol. 12(1), pages 3-27, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Fabian Dvorak, 2020. "stratEst: Strategy Estimation in R," TWI Research Paper Series 119, Thurgauer Wirtschaftsinstitut, Universität Konstanz.
    2. Lawrence, Elizabeth M. & Mollborn, Stefanie & Hummer, Robert A., 2017. "Health lifestyles across the transition to adulthood: Implications for health," Social Science & Medicine, Elsevier, vol. 193(C), pages 23-32.
    3. Michela Gnaldi & Silvia Bacci & Francesco Bartolucci, 2016. "A multilevel finite mixture item response model to cluster examinees and schools," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 10(1), pages 53-70, March.
    4. Zsuzsa Bakk & Jouni Kuha, 2018. "Two-Step Estimation of Models Between Latent Classes and External Variables," Psychometrika, Springer;The Psychometric Society, vol. 83(4), pages 871-892, December.
    5. Bakk, Zsuzsa & Kuha, Jouni, 2020. "Relating latent class membership to external variables: an overview," LSE Research Online Documents on Economics 107564, London School of Economics and Political Science, LSE Library.
    6. Emmott, Emily H. & Page, Abigail E. & Myers, Sarah, 2020. "Typologies of postnatal support and breastfeeding at two months in the UK," Social Science & Medicine, Elsevier, vol. 246(C).
    7. Dvorak, Fabian & Fehrler, Sebastian, 2018. "Negotiating Cooperation under Uncertainty: Communication in Noisy, Indefinitely Repeated Interactions," IZA Discussion Papers 11897, Institute of Labor Economics (IZA).
    8. Janne Petersen & Karen Bandeen-Roche & Esben Budtz-Jørgensen & Klaus Groes Larsen, 2012. "Predicting Latent Class Scores for Subsequent Analysis," Psychometrika, Springer;The Psychometric Society, vol. 77(2), pages 244-262, April.
    9. Gensowski, Miriam, 2014. "Personality, IQ, and Lifetime Earnings," IZA Discussion Papers 8235, Institute of Labor Economics (IZA).
    10. Gensowski, Miriam, 2018. "Personality, IQ, and lifetime earnings," Labour Economics, Elsevier, vol. 51(C), pages 170-183.
    11. repec:spr:advdac:v:10:y:2016:i:1:p:53-70 is not listed on IDEAS
    12. van der Ark, L. Andries, 2012. "New Developments in Mokken Scale Analysis in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i05).
    13. James Heckman & Rodrigo Pinto & Peter Savelyev, 2013. "Understanding the Mechanisms through Which an Influential Early Childhood Program Boosted Adult Outcomes," American Economic Review, American Economic Association, vol. 103(6), pages 2052-2086, October.
    14. Angela Bruns, 2015. "Stability and Change: Income Packaging among Partners of Incarcerated Men," Working Papers wp15-04-ff, Princeton University, Woodrow Wilson School of Public and International Affairs, Center for Research on Child Wellbeing..
    15. Lindsay Richards, 2016. "For Whom Money Matters Less: Social Connectedness as a Resilience Resource in the UK," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 125(2), pages 509-535, January.
    16. Jun Xie & Wataru Nozawa & Shunsuke Managi, 2020. "The role of women on boards in corporate environmental strategy and financial performance: A global outlook," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 27(5), pages 2044-2059, September.
    17. Mollborn, Stefanie & Lawrence, Elizabeth M. & Hummer, Robert A., 2020. "A gender framework for understanding health lifestyles," Social Science & Medicine, Elsevier, vol. 265(C).
    18. Bakk, Zsuzsa & Kuha, Jouni, 2018. "Two-step estimation of models between latent classes and external variables," LSE Research Online Documents on Economics 85161, London School of Economics and Political Science, LSE Library.
    19. Alexandre Morin & John Meyer & Dennis McInerney & Herbert Marsh & Fraide Ganotice, 2015. "Profiles of dual commitment to the occupation and organization: Relations to well-being and turnover intentions," Asia Pacific Journal of Management, Springer, vol. 32(3), pages 717-744, September.
    20. Martin Lukac & Nadja Doerflinger & Valeria Pulignano, 2019. "Developing a Cross-National Comparative Framework for Studying Labour Market Segmentation: Measurement Equivalence with Latent Class Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 145(1), pages 233-255, August.
    21. Lekkas, Peter & Howard, Natasha J & Stankov, Ivana & daniel, mark & Paquet, Catherine, 2019. "A Longitudinal Typology of Neighbourhood-level Social Fragmentation: A Finite Mixture Model Approach," SocArXiv 56x9c, Center for Open Science.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:jss:jstsof:v:042:i10. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Christopher F. Baum). General contact details of provider: http://www.jstatsoft.org/ .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.