segregation (development version)

segregation 1.1.0

• various improvements to compression algorithm
• add dendrogram visualization
• allow multiple curves in segcurve function
• segplot: add optional ‘secondary_plot’ argument
• segplot: remove ‘title’ argument
• segplot: add optional ‘hline’ 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(…, 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
• don’t 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 “shapley” 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 Theil’s Information Index (H)
• add entropy function
• add mutual_within function to decompose weighted within indices
• add “wide” option to mutual_local and mutual_within
• add “ipf” (iterative proportional fitting) function and a difference decomposition based on IPF
• “mrc_adjusted” difference decomposition is defined only on overlap sample of units and groups
• internal refactoring

segregation 0.0.1

Initial release.