The latent-class tag has no wiki summary.
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Visualizing results from multiple latent class models
I am using latent class analysis to cluster a sample of observations based on a set of binary variables. I am using R and the package poLCA. In LCA, you must specify the number of clusters you want to ...
2
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0answers
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How should outliers be dealt with in latent growth curve/GMM modeling?
When doing analysis of growth trajectories you often find natural outliers. Often these are not because of any "errors" in the dataset, they are simply there because certain cases grew at an explosive ...
2
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1answer
55 views
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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3
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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 ...
2
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0answers
53 views
How would you preprocess data for SVD?
I am computing SVD on a matrix which is the empirical version of $E[XY^{\top}]$ for some $X \in \mathbb{R}^{m \times 1}$ and $Y \in \mathbb{R}^{n \times 1}$.
I am wondering if there are standard ways ...
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Fitting a growth mixture model using lcmm (R package) - encountering difficulties
I'm fitting a growth mixture model using the lcmm package:
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4
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1answer
164 views
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 ...
4
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1answer
125 views
Latent class model with both continuous and categorical indicators in R
I have question regarding which R-package to use to create a latent class/mixture model
with both categorical and continuous indicator variables. I have not yet found a good example of this using R, ...
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85 views
How to cluster on multidimensional binary data using flexmix in R?
I have a data set which has 10 columns of binary data (n = 300) and I'm trying to use flexmix in R in order to explore the data by fitting a series of latent class ...
3
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1answer
83 views
Finding “weak ties” in network data
So I am working on a new project looking at formal and informal networks between businesses in the same industry. Namely, I am looking at joint ventures, fractional acquisitions, minority share ...
1
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1answer
373 views
What are the primary differences between Taxometric analyses (e.g., MAXCOV, MAXEIG) and Latent Class analyses?
Recent research has attempted to determine if certain psychological constructs are latently dimensional or taxonic (i.e., including taxons or classes). For example, researchers may be interested in ...
3
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0answers
183 views
Latent class model
I have asked following questions before
More than one outcome (dependent) variables in ordinal logistic regression
How to handle more than one dependent variable (categorical) in logistic ...
6
votes
1answer
360 views
Inverse logistic regression vs. repeated-measures vs. latent class?
As the title suggests, I'm pretty well befuddled about which approach makes the most sense for my data. Let me try to succinctly explain the problem.
I have binary choice data representing whether a ...
16
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4answers
1k views
Modelling longitudinal data where the effect of time varies in functional form between individuals
Context:
Imagine you had a longitudinal study which measured a dependent variable (DV) once a week for 20 weeks on 200 participants. Although I'm interested in general, typical DVs that I'm thinking ...
