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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Is there a way to make a latent class a predictor of a latent growth model?

I was wondering if it is possible to run a second-order latent growth model, where latent classes can be added as a covariate? I have three variables of which I have 7 repeated measures, say, variable ...
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Is it possible to implement Growth Mixture Models/Latent Class Mixed Models in Python? If so, how? R has packages such as lcmm and flexmix for this [closed]

R has lots of support for Finite Mixture Models, as well as specialized packages for more specific Mixture Models for approaches such as Latent Class Mixed Models (lcmm package) and Growth Mixture ...
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Growth Mixture Model/Latent Class Growth Analysis for binary/binomial outcome in R?

Latent Class Growth Analysis and Growth Mixture Models (synonyous; henceforth referred to as GMM) explain between-subject heterogeneity in growth on an outcome by identifying latent classes with ...
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Growth mixture model (hlme) from lcmm R package failing to converge - continuous timepoints?

I am currently creating a naive model, where the outcome is a continuous biological variable, and the time to measurement is a continuous time variable, defined as the time since the individual ...
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Intercept change issues in growth curve model in R

I am currently analyzing data using a growth curve model, and I have one question that puzzles me. I wonder why the intercept values keep changing when I add random effects or higher-order terms to ...
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How come my correlation table has a opposite result from my growth curve model?

I have a three level model, level 1 is time points of measurements, level 2 is measurement day, and level 3 is participant, when I run correlation to understand within-person (between day), the ...
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Aligning scores between the Child Behaviour Checklist (CBCL) and The Brief Infant-Toddler Social and Emotional Assessment (BITSEA)

I am currently conducting a longitudinal secondary data analysis. Due to the nature of the data that has previously been collected and my proposed analysis (Growth Mixture Modelling), I am needing to ...
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statistical method to analysis the trejectories (developmental study) but data is not longitudinal

For example, I am interested in specific brain regions' development over time. I have data, but data is one-time point data. it is not longitudinal. But in the data, I have participants aged from 0~17....
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Problems with using average of time-varying variable as a level 2 predictor in growth curve modeling?

I am running a multilevel growth curve model predicting trajectories with observations over time nested within people. I am specifically interested in if amount of exposure to an event explains/...
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What is the proper way to add two covariates in the level 2 of a HLM via lme4?

I am currently doing a study examining on how the outcome variable Y changed over time, and I want to control two time-invariant (gender and ageL2) variables in my model. But I am not sure about ...
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Universal Approximation Capabilities of Mixture of Weibulls

Can a mixture of $N$ Weibull distributions approximate any continuous density with non-negative support, if $N$ is sufficiently large? (If so, a reference to the proof would be greatly appreciated). (...
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Likelihood ratio tests in Growth Mixture Modelling with large sample sizes

I recently conducted Growth Mixture Modelling in a Structural Equation Modelling framework using a sample of n~300,000. I found that for any number of trajectories I fitted, the Vuong-Lo-Mendell-Rubin ...
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Three level multilevel model in r

I am conducting an analysis looking at trust across a range of 30 countries between 2002-2018. I am using repeated cross sectional survey data. My data is structured so that individuals(level 1) are ...
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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 ...
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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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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 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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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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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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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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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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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 ...
Brian's user avatar
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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 ...
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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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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 ...
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