Displaying 4 results from an estimated 4 matches for "openshaw".
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2004 Mar 10
0
New package: DCluster
...for the detection of clusters of disease.
It includes methods to test Poisson extra-variation (Chi-square test and
Potthoff-Whittinghill's test), Spatial Autocorrelation (Moran's I and
Geary's c), general clustering (Whittermore's statistic and Tango's
statistic), scan methods (Openshaw's GAM, Besag & Newell's methods and
Kulldorff & Nagarwalla's statistic) and a focused test (Stone's Test).
Bootstrap is used to estimate significance and a number of models are
proposed to simulate data: permutations and Poisson, Multinomial or Neg.
Binomial distributions....
2003 Oct 13
1
Pre-release of package DCluster available
Hi,
I have just put the source code (and a zip file for Window$ users) of
package DCluster in my website:
http://matheron.estadi.uv.es/~virgil/Rpackages/DCluster/
DCluster is a package that contains routines for the detection of
spatial clusters of diseases (Openshaw's GAM, Besag and Newell,
Kulldorff and Nagarwalla, Stone's Test and others).
A full description can be found here:
http://www.ci.tuwien.ac.at/Conferences/DSC-2003/Proceedings/GomezRubioEtAl.pdf
The purpose of this pre-release is to get feedback from the users. I'm
sure there are sti...
2003 Oct 15
1
Windows binaries for DCluster updated
Hi,
As Frank M. Howell noticed (and probably other users), the Windows
binaries for DCluster I put in my web page are not working... I have
compiled the source code
again and know it does. Please, download it again, and sorry for the
inconvenience.
The URL is http://matheron.uv.es/~virgil/Rpackages/DCluster
DCluster is a package that implements some methods for the detection of
spatial
2004 Mar 10
0
New package: DCluster
...for the detection of clusters of disease.
It includes methods to test Poisson extra-variation (Chi-square test and
Potthoff-Whittinghill's test), Spatial Autocorrelation (Moran's I and
Geary's c), general clustering (Whittermore's statistic and Tango's
statistic), scan methods (Openshaw's GAM, Besag & Newell's methods and
Kulldorff & Nagarwalla's statistic) and a focused test (Stone's Test).
Bootstrap is used to estimate significance and a number of models are
proposed to simulate data: permutations and Poisson, Multinomial or Neg.
Binomial distributions....