Package: DClusterm 1.0-1

DClusterm: Model-Based Detection of Disease Clusters

Model-based methods for the detection of disease clusters using GLMs, GLMMs and zero-inflated models. These methods are described in 'V. Gómez-Rubio et al.' (2019) <doi:10.18637/jss.v090.i14> and 'V. Gómez-Rubio et al.' (2018) <doi:10.1007/978-3-030-01584-8_1>.

Authors:Virgilio Gomez-Rubio, Paula Esther Moraga Serrano, Barry Rowlingson

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# Install 'DClusterm' in R:
install.packages('DClusterm', repos = c('https://becarioprecario.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • NY8 - Leukemia in an eight-county region of upstate New York, 1978-1982.
  • TCE - Leukemia in an eight-county region of upstate New York, 1978-1982.
  • brainnav - Brain cancer in males in Navarre, Spain, 1988-1994.
  • brainnavnb - Brain cancer in males in Navarre, Spain, 1988-1994.
  • brainst - Brain cancer in New Mexico, USA, 1973-1991.
  • losalamos - Brain cancer in New Mexico, USA, 1973-1991.
  • nm.cl0 - Brain cancer in New Mexico, USA, 1973-1991.
  • nm.cl1 - Brain cancer in New Mexico, USA, 1973-1991.
  • nm.m0 - Brain cancer in New Mexico, USA, 1973-1991.
  • nm.m1 - Brain cancer in New Mexico, USA, 1973-1991.
  • ny.cl0 - Leukemia in an eight-county region of upstate New York, 1978-1982.
  • ny.cl1 - Leukemia in an eight-county region of upstate New York, 1978-1982.
  • ny.m0 - Leukemia in an eight-county region of upstate New York, 1978-1982.
  • ny.m1 - Leukemia in an eight-county region of upstate New York, 1978-1982.

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.20 score 1 stars 16 scripts 216 downloads 8 exports 30 dependencies

Last updated 5 years agofrom:1fe26d67fa. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 27 2024
R-4.5-winNOTEOct 27 2024
R-4.5-linuxNOTEOct 27 2024
R-4.4-winNOTEOct 27 2024
R-4.4-macNOTEOct 27 2024
R-4.3-winNOTEOct 27 2024
R-4.3-macNOTEOct 27 2024

Exports:computeprobDetectClustersModelget.allknclustersget.stclustersknbinarymergeknclustersSelectStatsAllClustersNoOverlapslimknclusters

Dependencies:bootclassclassIntDBIDClusterdeldire1071intervalsKernSmoothlatticelme4magrittrMASSMatrixminqanlmenloptrproxyRcppRcppEigens2sfspspacetimespDataspdepunitswkxtszoo

Model-based detection of disease clusters

Rendered fromDClusterm.Rnwusingutils::Sweaveon Oct 27 2024.

Last update: 2019-08-21
Started: 2018-02-20