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License: GNU Lesser General Public License v3.0
Source of bayesRecon R package ๐
License: GNU Lesser General Public License v3.0
Add possibility to pass a list of strings as in_type, each entry can be either "params" or "samples"
Check that each input distribution string is one of the allowed ones, and raise an error otherwise.
Check that there isn't any continuous distribution that is child of a discrete one.
Check if A is a hierarchy matrix before running the integer linear programming problem to find H, G.
If parameter size = 0, raise an error (instead of sampling from a Poisson)
return a Full reconciled covariance matrix instead of blocks (upper / bottom)
Create a test for the case where .fix_weights returns a warning.
The required parameters for the negative binomial distribution are mu and size (instead of mu and prob)
The correct string for specifying the negative binomial distribution is negbin (instead of nbinom)
The output shape is p x p (instead of n x n)
Check that each entry of S is either 0 or 1. If not, raise ValueError.
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