Statistical Analysis Stack Exchange
Statistical Analysis Stack Exchange

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.

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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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 categorical), as you can see in this dataset. I…
histelheim
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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) is giving me fits: I'm trying to figure out if…
i_brake_for_ducks
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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?
Arpit Sisodia
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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: # Load OpenMx library(OpenMx) # Growth Mixture Model data(myGrowthMixtureData) names(myGrowthMixtureData) class1 <- mxModel("Class1", type="RAM", manifestVars=c("x1", "x2", "x3", "x4",…
histelheim
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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 Dirichlet process is exactly. I know what the…
erogol
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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 measurements each. We fit, say, a quadratic equation to…
Brian
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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 classes. My data looks something like this: ID …
Stijn
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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 quadratic variables are determined. However, I do not…
histelheim
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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 most subjects have an increase between between…
Brian
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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 fish per habitat. My interest is a) parameters of…
user260913
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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 injected drugs. My data come from an active cohort…
user121822
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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 specifies that an objective biomarker for the…
AdamO
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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 experimental design: my animals are from three…
user1701545
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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 values). Conceptually speaking if I log transform both…
user3143803
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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 questions that we would really appreciate any help…
Stefani Du Toit
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