[R-sig-Geo] From Sparse Matrix to Listw (capacity problems)

Csr - hints whether there is a Sparse matrix class and/or single element access method which is faster. - (or other workarounds). Best wishes, Martin Reismann --- Mag. Martin Reismann c/o Institut fuer Wirtschaftsgeographie und Geoinformatik Wirtschaftsuniversitaet Wien Nordbergstrasse 15, 4. Stock, Ker

Re: [R-sig-Geo] 2 problems with errorsarlm(method="SparseM")

elements different from 0 and 1. the glist= argument to nb2listw() allows to assign a weight to every 2-tuple of neighbours. Thus it can be used instead of mat2listw() for preparing listw-objects for errorsarlm. -- Mag. Martin Reismann c/o Institut fuer Wirtschaftsgeographie und Geoinformatik

[R-sig-Geo] 2 problems with errorsarlm(method="SparseM")

ss "matrix.csr": > got class "numeric", should be or extend class "integer" It might be because mat2listw creates listw-objects of weights style="M" (underlying style unknown). Is there a way to transform a listw-object created by mat2listw into a "

[R-sig-Geo] 2 problems with errorsarlm(method="SparseM")

t;matrix.csr": > got class "numeric", should be or extend class "integer" It might be because mat2listw creates listw-objects of weights style="M" (underlying style unknown). Is there a way to transform a listw-object created by mat2listw into a "

[R-sig-Geo] Missing statistics with errorsarlm(method="SparseM")

When using errorsarlm with method="SparseM" I encountered that "Asymptotic standard error" and "Wald statistic" are missing in the summary. Both are available with errorsarlm method="eigen". Any suggestions? Best wishes, Martin Reismann --- Martin Reis