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Dcluster specifications

Information


Unique identifier OMICS_06106
Name Dcluster
Software type Package/Module
Interface Command line interface
Restrictions to use Academic or non-commercial use
Operating system Unix/Linux
Programming languages Python
License GNU General Public License version 2.0
Computer skills Advanced
Stability Stable
Maintained Yes

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No version available

Publication for Dcluster

Dcluster citations

 (8)
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Impact of socioeconomic inequalities on geographic disparities in cancer incidence: comparison of methods for spatial disease mapping

2016
PMCID: 5059978
PMID: 27729017
DOI: 10.1186/s12874-016-0228-x
call_split See protocol

[…] Moran and Potthoff-Whittinghill statistics were computed using package DCluster of R 3.0.2. EBI was computed using package spdep of R []. The proximity-weighted matrix w ij = exp(−d ij), a negative exponential function for exponential decay, was used in all three methods […]

call_split

Prediction of Female Breast Cancer Incidence among the Aging Society in Kanagawa, Japan

2016
PLoS One
PMCID: 4988816
PMID: 27532126
DOI: 10.1371/journal.pone.0159913
call_split See protocol

[…] n each medical region was estimated using Tango’s test and Pearson’s chi-squared test using R version 3.2.5 (R Foundation for Statistical Computing, Vienna, Austria), including the packages “spdep”, “Dcluster”, and “classInt” [, ]. Of several methods for spatial clustering of hypothesis testing, we adopted Tango’s test [] because it can analyze the presence of clustering considering geographic pro […]

library_books

Spatio temporal Patterns and Landscape Associated Risk of Buruli Ulcer in Akonolinga, Cameroon

2014
PLoS Negl Trop Dis
PMCID: 4154661
PMID: 25188464
DOI: 10.1371/journal.pntd.0003123

[…] All analyses were performed using R software version 3.0.2 (R Development Core Team, R Foundation for Statistical Computing, Vienna, Austria), including packages DCluster, SPODT, FactoMineR, bcp; and the software ArcGIS version 10.0 (ESRI Inc. Redlands, CA), including the extension Spatial analyst. Graphics were drawn using the ggplot2 R-package and maps were […]

library_books

Applying spatial epidemiology to hematological disease using R: a guide for hematologists and oncologists

2014
PMCID: 3949695
PMID: 24624001
DOI: 10.2147/JBM.S57944

[…] R version 2.14.2 (R Foundation for Statistical Computing, Vienna, Austria) and the packages “spdep”, “Dcluster”, and “classInt” were used. R can be downloaded from the website. FleXScan software version 3.1 (FleXScan; National Institute of Public Health, Tokyo, Japan) was used to conduct global cluste […]

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Socioeconomic environment and cancer incidence: a French population based study in Normandy

2014
BMC Cancer
PMCID: 3930294
PMID: 24524213
DOI: 10.1186/1471-2407-14-87
call_split See protocol

[…] atial heterogeneity were actually in the data, we first performed a Moran test [] for autocorrelation and a Potthoff-Wintinghill test [] for heterogeneity. They were performed with packages spdep and DCluster from R version 2.15.0, p-values of the tests being indicated in tables. If both tests were significant we performed a BYM (Besag, York and Mollié) model integrating the two components, if jus […]

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Detecting cancer clusters in a regional population with local cluster tests and Bayesian smoothing methods: a simulation study

2013
PMCID: 3878948
PMID: 24314148
DOI: 10.1186/1476-072X-12-54
call_split See protocol

[…] ond is based on variously defined windows that scan the study region for elevated disease risk (Kulldorff spatial scan statistic; Besag & Newell) []. We applied the methods provided in the R packages DCluster (version 0.2-2) [] and spdep []. For local Moran’s I, Kulldorff spatial scan statistic, and the method of Besag & Newell [], all computations were performed with R version (2.13.1) []. […]

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Dcluster institution(s)
SISSA (Scuola Internazionale Superiore di Studi Avanzati), Trieste, Italy

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