Package: CIM 1.0.0

CIM: Compositional Impact of Migration

Produces statistical indicators of the impact of migration on the socio-demographic composition of an area. Three measures can be used: ratios, percentages and the Duncan index of dissimilarity. The input data files are assumed to be in an origin-destination matrix format, with each cell representing a flow count between an origin and a destination area. Columns are expected to represent origins, and rows are expected to represent destinations. The first row and column are assumed to contain labels for each area. See Rodriguez-Vignoli and Rowe (2018) <doi:10.1080/00324728.2017.1416155> for technical details.

Authors:Francisco Rowe [aut], Nikos Patias [aut, cre], Jorge Rodríguez-Vignoli [aut]

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CIM.pdf |CIM.html
CIM/json (API)

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

Peer review:

Datasets:
  • female - OD matrix, female, 2008-2013.
  • male - OD matrix, male, 2008-2013.
  • pop15_29 - OD matrix, people aged 15-29, 2010-2011.
  • pop1_14 - OD matrix, people aged 1-14, 2010-2011.
  • pop30_44 - OD matrix, people aged 30-34, 2010-2011.
  • pop45_64 - OD matrix, people aged 45-64, 2010-2011.
  • pop65over - OD matrix, people aged 65+, 2010-2011.

On CRAN:

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

2.00 score 4 scripts 137 downloads 51 mentions 1 exports 0 dependencies

Last updated 6 years agofrom:63a4c5b9f7. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 13 2024
R-4.5-winOKOct 13 2024
R-4.5-linuxOKOct 13 2024
R-4.4-winOKOct 13 2024
R-4.4-macOKOct 13 2024
R-4.3-winOKOct 13 2024
R-4.3-macOKOct 13 2024

Exports:CIM

Dependencies: