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NEWS
segregation (development version) segregation 1.1.0
- various improvements to compression algorithm
- add dendrogram visualization
- allow multiple curves in
segcurve function
- segplot: add optional âsecondary_plotâ argument
- segplot: remove âtitleâ argument
- segplot: add optional âhlineâ argument
segregation 1.0.0
- add mutual_total_nested
- add within argument to mutual_expected
- add dissimilarity_expected
- add suite of compression-related functions (some in C++)
- add segplot function
- add functions exposure and isolation
- fix that roxygen2 problem
segregation 0.6.0
- faster mutual_total(â¦, within)
- updated docs
- some minor bug fixes
- some improved error messages
segregation 0.5.0
- dissimilarity: support for the index of dissimilarity
- add CI argument for confidence intervals
- mutual_within: report ent_ratio instead of h_weight
- matrix_to_long: convert contingency tables into long form
- add introductory vignette
segregation 0.4.0
- faster bootstrap
- return bootstrap estimates as attr
- add mutual_expected
- apply bias-correction via bootstrap by default when se=TRUE
segregation 0.3.0
- always return data.table
- for ipf function, warn when groups/units are dropped
- return sample size of source dataset for IPF
- donât allow bootstrap when sample size is not an integer, but allow non-integer sample weights (which are unproblematic)
- simplify precision parameter for ipf procedure
- increase default bootstrap to 100
- fix data.table issue (#3)
segregation 0.2.0
- add âshapleyâ decomposition method, revisit other difference decomposition methods
- better logging of bootstrap/IPF
- several small fixes
- add lintr package
- add warning when attempting bootstrap with non-integer weights
segregation 0.1.0
- switch group and unit definitions, to be consistent with the literature
- add Theilâs Information Index (H)
- add entropy function
- add mutual_within function to decompose weighted within indices
- add âwideâ option to mutual_local and mutual_within
- add âipfâ (iterative proportional fitting) function and a difference decomposition based on IPF
- âmrc_adjustedâ difference decomposition is defined only on overlap sample of units and groups
- internal refactoring
segregation 0.0.1
Initial release.
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