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Currently, defn seems to be broken, the equivalent example to the manual:
```r
rm(list=ls())
library(umx)
library(MASS) # to get hold of mvrnorm function
set.seed(200) # to make the sim…
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We currently have our supply_demand_ratio variable in the sim UI …
ghost updated
5 months ago
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Hi,
I am getting the below error while calling the predict function. This I have tried with only two site level covariates, I have yet to add four more occurrence covariates.
```
> out.sp.pred …
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Hello,
This is the CRAN version.
Model:
M4
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## Description
`model.predict()` ~~after batch effect correction~~ before or after batch correction does not work on GPU. It fails with
```
RuntimeError: Expected all tensors to be on the same devi…
grst updated
7 months ago
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Greetings,
I'm a PhD student and trying to compute the log-likelihood estimate with 2-class model. This is because I want to combine this model with another model and find the combined maximum lik…
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There's a nice new paper on disaggregating predictors in cross-classified multilevel models (see below). Below, I show the way this could be done manually using datawizard functions. Would be great to…
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Just curious, since they both based on cVAE, with cell-type data as conditioning input, is there any difference between their backbones or algorithms?
YawnC updated
9 months ago
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Dear developers,
I would like to predict trajectories for individual markers from a multlcmm model.
Unfortunately, I receive NA as predicted values whenever I include more variables than the time v…
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Dear all,
Thank you for the lcmm package. I have a question on covariate adjustment in joint latent class models, for which I am struggling to find an answer.
By “adjustment”, I mean something…