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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Compute posterior distribution of Gaussian likelihood and discrete uniform prior

I am trying to analytically compute the posterior distribution for a simple dataset. I have a multi-variate Gaussian likelihood and a discrete uniform prior. I am multiplying my prior with my ...
18 views

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 ...
8 views

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 ...
8 views

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 ...
22 views

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 ...
44 views

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 ...
90 views

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 ...
115 views

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) ...
2k views

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 ...
161 views

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 ...
94 views

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 ...
1k views

Why are hidden Markov models (HMM) also called mixture models?

Why are hidden Markov models (HMM) called mixture models? What does it mix?
23 views

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 ...
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 ...
63 views

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 ...
279 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 ...
707 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 ...
569 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 ...
327 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 ...
5k views

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 ...
201 views

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 ...
516 views

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

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