Displaying 4 results from an estimated 4 matches for "kulldorff".
2012 Aug 13
4
write.dbf error: invalid subscript type 'list'
Dear all,
I am basically a GIS user and am new to R.
I am trying to write a data frame to a dbf file.
*n.simulations <- 999
binomial <- kulldorff(geo, cases, population, NULL, pop.upper.bound,
n.simulations, alpha.level, plot)
cluster <- binomial$most.likely.cluster$location.IDs.included
df <- data.frame(ID=seq(1,n.simulations,by=1),
simloglkhd=binomial$simulated.log.lkhd)
write.dbf(df,"H:\\CIV\\CIVProject\\DATA\\plotdata.dbf&quo...
2004 Mar 10
0
New package: DCluster
...thods to test Poisson extra-variation (Chi-square test and
Potthoff-Whittinghill's test), Spatial Autocorrelation (Moran's I and
Geary's c), general clustering (Whittermore's statistic and Tango's
statistic), scan methods (Openshaw's GAM, Besag & Newell's methods and
Kulldorff & Nagarwalla's statistic) and a focused test (Stone's Test).
Bootstrap is used to estimate significance and a number of models are
proposed to simulate data: permutations and Poisson, Multinomial or Neg.
Binomial distributions.
I hope the package will be useful to epidemiologists and...
2003 Oct 13
1
Pre-release of package DCluster available
...i,
I have just put the source code (and a zip file for Window$ 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 still bugs in the code (please, use it with...
2004 Mar 10
0
New package: DCluster
...thods 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.
I hope the package will be useful to epidemiologists and...