Questions tagged [latent-class]

A latent class model has a number of categorical manifest variables and one or more categorical latent variables.

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What exactly is the difference between LMR-LRT, adjusted LMR-LRT, and VLMR-LRT?

I'm trying to understand the difference between these models and all of the citations I'm finding seem to interchange the names, or in some cases confuse which came first. I'm pretty sure it was LMR, ...
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What options are available when all latent classes have poor homogeneity?

Context: I have run a series of latent class analyses on a dataset with three to eight classes each. There are four response items: one variable has two levels, one variable has three levels and two ...
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29 views

Best statistical approach…?

I am currently thinking about different statistical methods and which is the most suitable for my question. I have a questionnaire with 12 dichotomous items (yes/no) that ask about stressful ...
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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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latent profile analysis - can I use the membership variable as a predictor in a mediation model?

I ran an LPA using mplus and have some support for a 3-profile solution. I read stuff on using bch method to test whether the three groups differ in some covariates X, but I'm wondering if I can also ...
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LCA - how to include predictors (conceptual difference between one-step and bias-corrected three-step approach?)

I am trying to teach LCA as part of a modelling course, but I haven't quite made sense of how to deal with testing whether certain (demographic variables) predict class membership. Question: (Why) ...
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Specifying starting values from previous class in flexmix

I am using the flexmix package in R to perform latent class analysis with covariates using model with 1 to 3 classes/components. For model with 3 classes, I'd like ...
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17 views

Sampling Weights with latent profile analysis package

Is there a package for latent profile analysis in R that can accommodate sampling weights? I am using tidyLPA and would prefer to use this package if anyone has knowledge about how methods such as ...
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18 views

Multilevel 3-step latent class analysis: Accounting for group at multiple phases of the 3-step method?

I conducted a multilevel latent class analysis with a large dataset gathered from five different sites, with site specified as the grouping variable. The best fitting model included 2 classes and only ...
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21 views

Latent Transition Analysis vs Latent Class Growth Analysis

I am curious, what are the main differences between latent transition analysis and latent class growth analysis? I am wanting to model latent classes and probabilities of changes between the classes ...
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60 views

Understanding and implementing the last step in the 3-Step Latent Class Analysis using covariates from Vermunt 2010

I am interested in implementing the 3-Step approach for LCA with covariates ($Z_i$) in R. According to Vermunt (2010), the "Standard" three-step approach would involve (mentioned in pages 5 ...
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Model fit across methods

I have one dataset and I would like to compare analytic methods. The data have to do with risk factors predicting functioning in multiple domains (multiple IVs, multiple DVs). All variables are ...
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Multiple Correspondence Analysis probabilities class membership

Is it possible to get probabilities of class membership based on Multiple Correspondence Analysis which uses hierarchical clustering? I am thinking along the lines of Latent Class Analysis that ...
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1answer
100 views

How to correctly address “ALERT: Iterations finished, maximum likelihood not found” in poLCA?

I intend to use Latent Class Analysis on a large dataset with 12 response categories and approximately 50,000 observations. I am getting an "ALERT: Iterations finished, maximum likelihood not ...
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214 views

Average marginal effects by hand?

I'm having trouble calculating average marginal effects by hand. I have the coefficients from Latent Gold (so if anyone knows how to get AMEs from that program, that would be helpful!). Otherwise, I ...
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124 views

Latent profile analysis with covariates (Mplus)

I am trying to conduct LPA for the first time. I managed to get 4 profile solution, now I want to add covariates and this is the confusing part. I am trying to do it with R3STEP, but I am not sure if ...
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Latent Profile Analysis - standardizing the variables and interpreting it

This is the first time I'm running an LPA and prior to running it, I standardized all variables because I read that would help interpret the profile structure later. And now I'm confused in the ...
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63 views

Quadratic growth with only three time points (latent growth curve modeling)

I am trying to model change in, let's say in "depression" [DEP], across three time points (T1-T2-T3). Using Latent Growth Curve Modeling I succeeded to fit a linear model (i.e., intercept ...
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Multi-level Latent Class Growth Curve Model of a double-repeated measures data structure

I have an interesting data structure I'm trying to analyze. I've decided that the best route is most likely using some type of LCGA, but am having trouble conceptualizing the model. Unfortunately, I'm ...
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Can I use multiple models for auxiliary (covariate) variable tests in latent class analysis

I was hoping to come across someone who has familiarity with latent class analysis. I am going to run one soon and while I understand how to identify the number of classes, I am a little more confused ...
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Effects package equivalent for LCMM [closed]

The effects package helps in the analysis of predictor effects from LMER models. Is there an equivalent for LCMM models? (i.e. understand predictor effects of class ...
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21 views

What's the difference between latent class analysis (LCA) and latent class clustering (LCC)?

I'm now working on categorizing the traffic accident patterns, and I found several studies using latent class clustering (LCC) approach to identify those patterns. (e.g., "Sun et al. (2019). ...
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27 views

poLCA for latent class analysis giving higher likelihood for nested model

I am currently trying to apply variable selection for a latent class model. I stumbled upon this paper (https://static1.squarespace.com/static/5a970ef5372b96ff61c13d3b/t/5a9aee0b71c10b1a7d1400f3/...
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29 views

change the reference modality for a latent class regression on R

I'm doing the latent class regression using the dataset "election" with 12 manifest variables and PARTY as the covariable. I used the 3 class model and the PARTY variable has seven ...
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1answer
368 views

Difference Between Latent Class Analysis and Mixture Models

I have been trying to look into latent class analysis and don't exactly understand what it is. Is it basically the expectation maximization using and analyzing the classes formed? The resources on the ...
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18 views

Using feature importance to decet latent variables and grouping

Is it possible to use feature importance from Random Forests (e.g. based on gini impurity) or other models to determine which features I can use to group the rows of my dataset homogeneously? For ...
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53 views

Can latent class analysis be used for path analysis?

I have been experimenting with latent class analysis (LCA), which I've recently learned is a form of structural equation modeling (SEM). I know some forms of SEM, I know path analysis can be done ...
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31 views

Jointlcmm error when trying to use competing risks

I am still attempting to use jointLCMM to model trajectories of a risk variable while controlling for data missing not at random due to survival events. I am trying to control for multiple events ...
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1answer
69 views

Jointlcmm survival term: Do variables need to be time-independent?

I have a large dataset of within-individual repeated measures, where each participant has varying number of observations (multiple rows of data for each participant). Data include a time-dependent ...
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1answer
143 views

(How) do I need to account for censored data in LCMM?

I have a large dataset of within-individual repeated measures, where each participant has varying number of observations (multiple rows of data for each participant). Missing data is largeley non-...
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49 views

Interpretation of effects plot in latent class regression

I'm fitting a latent class model with covariates using poLCA in R. It seems to work fine, but I have some trouble understanding ...
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1answer
145 views

Use LCA memberships as independent variables in a linear regression model

I performed LCA using the "depmixS4" library in R and got a three cluster solution for my data; as such for each record in my data, I have three LCA memberships (probabilities) for the three clusters ...
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1answer
300 views

Mixture model on binary + continuous data

If I have a dataset of continuous variables (that I can assume are normally distributed), I can identify subgroups using a Gaussian mixture model and implement. Likewise if I have binary data I can ...
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Favored methods for overcoming selection bias (special attention to healthcare fields)?

I am frequently measuring the effect of behavioral health treatment interventions on outcomes of interest. However, comparing the relative efficacy of different types of treatment is tricky - more ...
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583 views

How do we correctly select the final number of classes in latent class analysis?

Hope this is not too basic: What Statistical, Mathematical methods do we use to determine number of classes and class membership in Latent Class Analysis?
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467 views

Can Latent Class Analysis entropy be infinity? And what does it mean?

I recently ran a latent class analysis with polytomous outcome variables with the poLCA R package. The model ran fine converged from 2 to 6 classes (the model converged with more classes but fit ...
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1answer
216 views

Latent profile analysis - Gaussian models and which one to choose?

When performing LPA different models are possible depending on shape, volume and orientation (Figure 1. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5096736/). Can someone, please, explain in simple ...
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324 views

latent class model on choice data with gmnl - choosing starting values

I want to run a LCMNL (using the gmnl-package) on choice data. I read that starting values can influence class allocation since LCMNL can have several optima. I found the following example code that I ...
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118 views

When DV is dichotomous and IV is ordinal, should I use LPA or LCA?

Suppose my dependent/outcome variable is composed of 6 vignettes that has dichotomous outcomes of "Yes" (1) or "No" (0). Normally, I can just get a sum-score total so that it's a score from 0 (...
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1k views

Conducting a three-step Latent Class Analysis in R

I'm trying to conduct a Latent Class Analysis in R using the poLCA package, and I have now become stuck on two aspects of the process. I have conducted Latent Class Analysis separately for males and ...
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957 views

How can you implement latent class analysis with distal outcomes in R?

I am looking to fit a fairly straightforward latent class analysis (LCA) model to derive phenotypes / clusters of a disease (in R). My dataset contains the manifest variables used to derive the ...
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1answer
1k views

Why covariates are used in Latent class analysis (LCA)

I am trying to learn this relatively new statistical technique LCA. In literature i saw that for some LCA models, covariates are used. I am having a difficulty to understand why additional covariates ...
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2answers
78 views

Latent class analysis and membership function

I'm running a latent class (profile) analysis, and there is still a thing not clear to me. What happens when I don't include the constant in the membership function? Is the interpretation different? ...
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1answer
867 views

Latent Class Analysis - negative degrees of freedom

I want to see how many profiles (latent classes) can be differentiated based on respondents’ patterns of responses to four binary variables (accepting or rejecting four different immigration policies)....
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111 views

Is this formula related to the energy function / boltzmann distribution?

I am reading research done in this thesis. On page 20-21 (section 2.1) of the thesis, it describes the following stochastic model: ... let us focus for the rest of this chapter on time-varying ...
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173 views

Discrete latent variables in Bayesian Network

I am creating a Bayesian Network where all nodes are discrete. Using the available data, I have learned the structure of the network using the Hill-Climb algorithm (...
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3answers
1k 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 ...
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1answer
1k views

AIC and BIC in Latent class analysis

I am using the Latent Class Analysis feature available in Stata 15. The two statistical criterions gave me different indications: $AIC$ suggests me to use 6 classes, instead $BIC$ suggests to use 5 ...
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38 views

Indirect clustering / association finding

I'm looking for recommendations of techniques that allow me to cluster or find associated items, through an indirect layer. Imagine a hypothetical database of information about patients, including ...
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1k views

Interpretation of regression coefficients in latent class regression (using poLCA in R)

I am analysing data on symptoms, signs, and autopsy findings (a set of binary Y/N variables), viral serology, for several viruses, and a few other covariates (Age, gender, site) in pigs. After some ...