powered by
Compute the support estimate.
support_estimation(beta_sample, param)
a list containing:
a numerical vector. The approximated posterior probabilities that the coefficient function support covers t for each time points t.
t
a numerical vector, the support estimate.
a numerical vector, another version of the support estimate.
the result of the function compute_beta_sample.
compute_beta_sample
a list containing the value Q and an optional parameter gamma.
Q
gamma
data(data1) data(param1) data(res_bliss1) param1$Q <- length(data1$x) res_support <- support_estimation(res_bliss1$beta_sample,param1)
Run the code above in your browser using DataLab