This generates a posterior sample based on the data and global parameters defined in its input.
A knowledge list. See
This function is the same as,
sample_function_multi_mod_weight. This is the sampling function used by design strategies. It can be changed to modify the sampling strategy (e.g.
A matrix which row represent a parameter named numeric vector in log space. Its distribution is supposed to be closed to the posterior distribution defined by knobj.
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