[R] Error in ginv(A) : 'X' must be a numeric or complex matrix

[Matteo Villa]

Dear all,

I tried searching the archives for a problem that I encountered today, but
to no avail, so here I am sending my first e-mail to the list!
I am estimating a binary spatial autoregressive model via a Gibbs sampler.
When I do this with a neighborhood matrix, everything goes perfectly fine,
but when I switch to a distance matrix, the program stops almost
immediately, and outputs the infamous (but hardly ever occurring) line:
"Error in ginv(A) : 'X' must be a numeric or complex matrix"

What strikes me as odd is that when I try to compute the
generalized inverse myself, everything goes smoothly, and all the matrixes
seem to be numeric. Below you will find the data and code for the
replicable example.

Data for the replicable example:
https://gist.github.com/lessermatter/66b6488cfe6f5d7893bf

And here is the code (the error occurs after executing the final
line, which is also a toy model to be estimated through the bsar function):
https://gist.github.com/lessermatter/0284be117a19620750aa

Any ideas?

Kind regards,

Matteo Villa
Università degli Studi di Milano
Italy

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