While explaining the arguments of corner(), you write
X : array-like
all posterior parameters. Can also be the outputs of
more than one chain, given as an array of arrays of models
(e.g., X = [[A1, B1, C1], [A2, B2, C2]])
I suppose it might help to explain that A B C are parameters, whereas 1 and 2 refers to the chains. This is perhaps counter intuitive at the moment because the example provided in this repository deals with 2 parameters and 3 chains.
While explaining the arguments of corner(), you write X : array-like all posterior parameters. Can also be the outputs of more than one chain, given as an array of arrays of models (e.g., X = [[A1, B1, C1], [A2, B2, C2]]) I suppose it might help to explain that A B C are parameters, whereas 1 and 2 refers to the chains. This is perhaps counter intuitive at the moment because the example provided in this repository deals with 2 parameters and 3 chains.