Hi Jens,
I assume you are using package dlm.
To add covariates to the system equation the workaround is to include
psi in the state vector. Suppose your observation and system equations are
as follow:
Y[t] = F[t]theta[t] + v[t], v[t] ~ N[0,V] #observation equation
theta[t] = G[t]theta[t-1] +
Is there a way to add covariates to the system equation in a time-varying
approach:
Y[t] = F'[t]theta[t] + v[t], v[t] ~ N[0,V] #observation equation
theta[t] = theta[t-1] + psi*Z[t] + w[t], w[t] ~ N[0,W] #system equation
While F[t] is a matrix of regressors to capture the short term effect on
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