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Article

Development of a Mixture Model (SMM) Allowing for Smoothing Functions of Trajectories

2019-12-18

Abstract excerpt

<h4>ABSTRACT</h4> In the health and social sciences, two types of mixture model have been widely used by researchers to identify heterogeneous trajectories of participants within a population: latent class growth analysis (LCGA) and the growth mixture model (GMM). Both methods parametrically model trajectories of individuals, and capture latent trajectory classes, by using an expectation-maximization (E-M) algorit...

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Literature Corpus work
fa3b4e37-b5be-51b4-86ce-bae157d9157a
DOI
10.1101/2019.12.13.19014928
Open publication

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Development of a Mixture Model (SMM) Allowing for Smoothing Functions of TrajectoriesDOI 10.1101/2019.12.13.19014928
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