tidyLPA: tidyLPA: Functionality to carry out Latent Profile Analysis...
In tidyLPA: Easily Carry Out Latent Profile Analysis (LPA) Using Open-Source or Commercial Software
Description
Latent Profile Analysis (LPA) is a statistical modeling approach for
estimating distinct profiles, or groups, of variables. In the social
sciences and in educational research, these profiles could represent, for
example, how different youth experience dimensions of being engaged (i.e.,
cognitively, behaviorally, and affectively) at the same time.
Details
tidyLPA provides the functionality to carry out LPA in R. In particular,
tidyLPA provides functionality to specify different models that determine
whether and how different parameters (i.e., means, variances, and
covariances) are estimated and to specify (and compare solutions for) the
number of profiles to estimate.
tidyLPA documentation built on Nov. 17, 2021, 5:07 p.m.
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Description
Latent Profile Analysis (LPA) is a statistical modeling approach for estimating distinct profiles, or groups, of variables. In the social sciences and in educational research, these profiles could represent, for example, how different youth experience dimensions of being engaged (i.e., cognitively, behaviorally, and affectively) at the same time.
Details
tidyLPA provides the functionality to carry out LPA in R. In particular, tidyLPA provides functionality to specify different models that determine whether and how different parameters (i.e., means, variances, and covariances) are estimated and to specify (and compare solutions for) the number of profiles to estimate.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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