Questions tagged [growth-mixture-model]

A growth mixture model is a latent variable model that *mixes* latent continuous (intercept & slope) variables with latent categorical (class) variables. It is used to identify latent populations within growth data.

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Equality of variance when comparing growth trajectories in two groups

I am trying to compare growth trajectories of a variable in two groups. My question is simple: should I hold the variances of the slope and intercept factors equal across groups?
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How can I better interpret growth curve models?

I am doing growth curve model analysis in R, using lme4. I have doubts (well, many, but these are the most important). (1) When I get the intercept result, it is ...
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what exactly are level - 1 contrasts in determining factor effects in generalized linear models?

I am currently running a generalized linear model. As I have learned, the default contrasts of levels in factors lead to simple ...
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Growth mixture model to establish trajectories of maternal depressive symptoms

We have been trying to conduct a growth mixture model to establish trajectories of maternal depressive symptoms. We have managed to set up a model in MPlus and it runs, but we have a few theoretical ...
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How do you differentiate between time-varying covariate versus nontime-varying covariate in growth mixture models/latent class growth analysis in r?

I am attempting to run a LCGA / GMM analysis in R but I am not sure how to control for time-varying covariates. I understand that R only has the capability to do the 1-step approach. Does this mean ...
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Pseudo-class regression for LGCA with multiply imputed data

I have fit a latent class growth analysis model (LGCA) using the lcmm package in R. I want to estimate a regression looking at predictors of class membership. I ...
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How to test for significant differences between growth curves in repeated measures mixed-models?

I am comparing growth of fish in different habitats and since length and age data is derived from repeated measurements (back-calculations) I am using a mixed model (R, nlme). I have data from ~50 ...
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Peanut butter jars full of river mud and bacteria?

I'm an environmental scientist looking into dynamics of bacteria growth in river bed sediments. I collected lots of data, and used regression for most of the comparisons, but one (the most important) ...
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3answers
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Convergence of Latent Class Linear Mixed Model with LCMM in R

I am seeking help getting my latent class linear mixed models to converge using the LCMM package in R. I am studying common patterns of heroin and cocaine use over the life course of adults who have ...
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How to model LCGA with time-varying covariate

We have the following data set that contains: Variable $X$ - measures a proportion of young employees in an organization Variable $Y$- measures a proportion of young managers in the same ...
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Meta-analysis of growth mixture models

Is it possible to meta-analyze studies that have used mixture modelling to examine the same latent construct? What if the latent construct is measured differently between studies? EDIT: [These are ...
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Why are hidden Markov models (HMM) also called mixture models?

Why are hidden Markov models (HMM) called mixture models? What does it mix?
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Measurement error models for non-differential misclassification with partially measured gold standard

We are facing a study where participants are to be followed longitudinally for a sensitive self-report question. Efforts were made to establish trust with participants, but part of the data collection ...
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156 views

A mixed effects model for learning curves

I have data for a time it takes an animal to fall off a rod (the longer the time the better the performance), which I collected three times a day over five consecutive days for the following balanced ...
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Growth mixture models, "structural parameters", and using a parameter with variance fixed at zero as mediator in regression model?

I am examining a paper that uses growth mixture modeling. They have estimated intercept, linear slope, and quadratic growth parameters. They have also estimated random effects for the intercept and ...
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278 views

Log Transformation in Growth Mixture Model (Mplus user)

I am using parallel process growth mixture modeling to estimate bidirectional longitudinal dynamics between pain (0-100 theoretical range of values) and sleep measures (0-20 theoretical range of ...
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697 views

Doing a simple Growth Mixture- and Latent Growth Class analysis in R

I'm attempting to run a LCGA and GMM analysis in R, but I'm not sure how to go about it. The data I have is pretty simple, so let me explain that first. The dataset is provided by a number of ...
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1answer
549 views

Are growth mixture models just Gaussian mixtures applied to coefficients of polynomials fitted to time-series data?

Am I understanding correctly that growth mixture model is just Gaussian mixtures applied to coefficients of polynomials fitted to the time-series data? For example, we have 1000 cases, with 3 ...
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1answer
326 views

Best approach to classifying 3-point trajectories?

I have a sample of about 300 subjects who have been measured at 3 different times (morning, afternoon, evening). The variable of interest can be assumed to be approximately normal. It appears that ...
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Can someone give a simple guide of Dirichlet process clustering?

I am trying to understand the Dirichlet process and Dirichlet process clustering, but because of my lack of knowledge of stochastic process theory and measure theory, I cannot understand what the ...
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Growth mixture modelling with unequal number of measurements per individual

I have responses to a questionnaire item from a number of people, measured at equidistant timepoints. I wish to fit a growth mixture model (in R, using the LCMM package) to this data to find latent ...
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509 views

How to arrive at class probabilities for each case in a GMM using R/OpenMX

I'm fitting a GMM using OpenMX: ...
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213 views

How are the classes determined in a growth mixture model?

I am trying to fit a growth mixture model to a set of trajectory data. I am using a model that on a generic level is the same as this one. I do understand how the latent intercept, linear, and ...
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Which R package to use to conduct a latent class growth analysis (LCGA) / growth mixture model (GMM)?

I am trying to perform a latent class growth analysis (LCGA) and/or growth mixture models (GMMs) in R. The data I am using is an increasing number of forks of git repositories (discrete variable, not ...