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'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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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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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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33 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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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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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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JointLCMM “the leading minor of order 1 is not positive definite” error

I am using JointLCMM to model trajectories of a dynamic risk variable while controlling for competing events (censorship, event-type1, event-type2). My code is written as ...
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Estimating coefficients in softmax model formulations

Suppose we model $P[X=l]$ for some data using a softmax formulation, say : $$ P[X=l]=\dfrac{e^{\gamma_l}}{\sum_{i=1}^L \gamma_i} $$ Now I have read some papers where they constraint the ...
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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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lclogit from Stata to R

I'm trying to replicate a STATA constrained latent class logit model (which uses lclogit) in R. I'm having difficulties establishing whether there is a simple way to do the same thing in R but ...
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32 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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58 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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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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A dramatic drop in AIC/BIC values (positive to negative) for a certain solution [duplicate]

I was using Stata running latent profile analysis and got fit indices as follows: AIC 221.25 / -643.82 / 237.25 and BIC 300.94 / -541.36 / 362.47 respectively for 3/4/5-profile solutions. Is there ...
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77 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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Multi-group latent class analysis with missing variables in some samples

I am estimating a multi-group latent class model using cross-sectional data from multiple survey years. However, some of the survey questions were not asked in particular years of analysis. ...
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124 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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276 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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239 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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117 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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205 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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72 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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921 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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559 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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644 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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60 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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475 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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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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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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750 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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550 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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36 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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651 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 ...
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Adjusting for selection bias in a structural topic model

I want to build a structural topic model that adjusts for selection bias into the sample of entities about whom documents are written. I wanted to use the stm R ...
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Are there extensions of the latent-class growth model where also the outcome is unobserved?

In my understanding, in a repeated-measure setting, Latent-Class Growth Models (LCGM's) use latent factor to represent growth parameters. In my case, I have repeated measures where also the outcomes (...
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107 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 ...
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408 views

McLust latent profile analysis results

I'm currently running a latent profile analysis with the McLust package in R. My aim is to see whether the program is able to distinguish different profiles based on various (n=11) neuropsychological ...
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860 views

Mixing variable types in latent class/profile analysis?

Is there a way to use both binary and continuous variables in latent class/profile analysis? (Class being binaries, and profile being continuous, not sure what to call this.) My lone continuous ...
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319 views

Using latent variable as independent variable in regression

I ran latent class analysis using poLCA package and each observation in my dataset has been assigned a class based on the highest posterior probability (modal ...
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1answer
6k views

Inferring the number of topics for gensim's LDA - perplexity, CM, AIC, and BIC

I am confused as to how to interpret the LDA's perplexity fluctuations with different numbers of topics, in the endeavour of determining the best number of topics. Additionally, I would like to know ...
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579 views

Seeking examples of latent transition analysis with ordinal data and multiple subjects

Background A colleague of mine has asked me for help. She has a large amount of patient data involving clinical psychological measures (e.g., questions related to specific symptoms) gathered both ...
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122 views

Mixture model with covariance matrix with varying variances and equal covariances

In some illustrations of mixture models, the covariance matrix is structured to have varying variances and equal covariances between mixture components. For example, Pastor et al. (2007) (I'm sorry ...
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59 views

SEM-LPA model fit using BIC

I am studying a paper and while I have done a lot of additional reading, I would like some hints on on this issue as I am somewhat stuck. My question is whether a Structural Equation Model of the ...
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263 views

Power calculation for a Latent Class Analysis

Good Day, I am planning a study that will I analyze using Latent Class Analysis. I have three tests that will be used as inputs to the LCA and I wish to create a 2-class model. I have some pilot ...
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118 views

Generating a synthetic dataset from a latent class model

In latent class analysis, the estimated model paramters are class sizes and item-response probablities in each class. Based on these basic parameters, is it possible to generate a synthetic sample ...
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Identified latent class from experiment data

I have a large data set generated by a random experiment conducted by an online retail company. The treatment is changing the position of the text review. Specifically, in the control (default) group, ...
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65 views

Linear correlation with number of latent classes and BIC?

I have a dataset with almost 300 cases and 8 variable. Some are binary, some are ordinal variables with 4 to 5 categories. I am performing a hierarchial cluster analysis and latent class analysis in R....
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Are these negative binomial regression results reasonable?

I did a negative binomial regression on a data set with 4 covariables. The count outcome has values up to 600. I did a mixture model with 2 components, also called a latent class model. However, I am ...
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How is a latent class regression model estimated?

Can someone explain, intuitively, how a latent class regression (LCR) model is estimated (or direct to some digestible explanations)? I understand how regressions are estimated, no need to comment ...