sample_function: Generates posterior samples
In pauwels2014: Bayesian Experimental Design for Systems Biology.

Description Usage Arguments Details Value Author(s) See Also

This generates a posterior sample based on the data and global parameters defined in its input.

1	sample_function(knobj)

knobj

A knowledge list. See knobjs.

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. sample_function_single_mod).

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.

Edouard Pauwels

sample_function_multi_mod_weight, sample_function_single_mod

pauwels2014 documentation built on May 1, 2019, 6:29 p.m.