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Dear Dr. Van Lissa,
I’ve been using the tidySEM package, following recommendations from your paper, "Recommended Practices in Latent Class Analysis Using the Open-Source R-Package tidySEM", to cond…
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Hi love this project! I had a question if StepMix works with Time Series/Longitudinal Data? I have a dataset of trajectories of longitudinal values over scattered missing occurrences. I'm building a …
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## Environment (for enhancement requests)
* Enhancement: Inclusion of two-step cluster and latent class analysis techniques
* Purpose: This would help analysts to estimate latent nominal classes …
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### Description
_No response_
### Purpose
Understanding heterogeneity in individual outcomes over time
### Use-case
See description in additional context
### Is your feature request …
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I'm using the glca package to estimate a latent class model with covariates. In the table of covariate coefficients, the reference value for the regiao variable is set to CENTRO-OESTE, but I would lik…
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Dear Prof. Proust-Lima
I am very much enjoying using the lcmm package and I have found it very user-friendly (largely due to the worked out vignettes on the lcmm webpage).
I have successfully us…
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Hi [@CecileProust-Lima](https://github.com/CecileProust-Lima), [@VivianePhilipps](https://github.com/VivianePhilipps),
Thank you very much for developing package.
I am using the lcmm package to id…
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### Description
Latent Profile Analysis (LPA)
### Purpose
LPA is a categorical latent variable modeling approach that focuses on identifying latent subpopulations within a population based on a spe…
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(I never heard about or looked at this)
stackoverflow question: http://stackoverflow.com/questions/41488795/what-is-the-proper-way-to-perform-latent-class-analysis-in-python
some information in …
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I think that our implementation of regularization loss is broken!
Here's how it looks now:
```python
def regularization_loss(self):
"""L1 penalize single mutant effects, and pre-lat…