I'm using poLCA in my research at the moment & have had some issues using the poLCA.entropy() function. Specifically, when I attempt to run my entire model through this function, vector memory is exhausted.
I have tried:
Allocating more memory to R (does not work)
Running a model with ~25% of the original variables (does work)
Running a model with ~50% of the original variables (does work)
Running a model with ~75% of the original variables (does work)
I am working with data from roughly 1,900 participants across 15 variables. I cease being able to calculate entropy once 12 variables are included in the model.
Is this a known issue? Is there a maximum amount of data which can be input to poLCA for entropy to be calculated?
I am running R version 4.0.3 in R Studio version 1.4.1103 on macOS Monterey (12.2.1).
Hello,
I'm using poLCA in my research at the moment & have had some issues using the poLCA.entropy() function. Specifically, when I attempt to run my entire model through this function, vector memory is exhausted.
I have tried:
I am working with data from roughly 1,900 participants across 15 variables. I cease being able to calculate entropy once 12 variables are included in the model.
Is this a known issue? Is there a maximum amount of data which can be input to poLCA for entropy to be calculated?
I am running R version 4.0.3 in R Studio version 1.4.1103 on macOS Monterey (12.2.1).
Thank you!