Comments (3)
Thanks, you are mistaken on how alpha_region is structured. It's dimensions are [chains, regions, regional_features]. which means alpha_region[,1,] is the intercept and alpha_region[,2,] is the coeff for averageMobility. Now X_partial_regional is of dimensions [states,N2,regional_features], which means X_partial_regional is [states,N2,2] matirx where X_partial_regional[,,1] is the intercept and X_partial_regional[,,2] is averageMobility
PS: I have assumned you have passed formula_regional as '~ 1 + averageMobility'.
from covid19model.
Thank you for clarifying the matrix structure. My confusion came from the equation printed in the report, where I interpreted Y(t,m) and alpha_region(r(m)) both as scalar signals. Could you help clarify what the coefficient and intercept components represent?
On a related note - the first dimension of alpha_region is 4000 (chains, as you referred to it). We are interpreting this as a timespan, measured in units smaller than days. is this correct?
thank you so much,
from covid19model.
that is incorrect, it is the number of chains the sampler has run.
from covid19model.
Related Issues (20)
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from covid19model.