It would be great to use a trained glmpca to infer factors from new data.
Possibly like:
new_factors <- predict(glmobject, data = new_data)
I imagine the inference part would involve fixing the loadings to be constant, while inferring the factors from the new samples, but there might be details I'm missing.
It would be great to use a trained glmpca to infer factors from new data.
Possibly like:
new_factors <- predict(glmobject, data = new_data)I imagine the inference part would involve fixing the loadings to be constant, while inferring the factors from the new samples, but there might be details I'm missing.