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cff-version: 1.2.0
message: 'To cite package "urbin" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'urbin: Unifying Estimation Results with Binary Dependent Variables'
version: 0.1-15
doi: 10.32614/CRAN.package.urbin
abstract: 'Calculate unified measures that quantify the effect of a covariate on a
  binary dependent variable (e.g., for meta-analyses). This can be particularly important
  if the estimation results are obtained with different models/estimators (e.g., linear
  probability model, logit, probit, ...) and/or with different transformations of
  the explanatory variable of interest (e.g., linear, quadratic, interval-coded, ...).
  The calculated unified measures are: (a) semi-elasticities of linear, quadratic,
  or interval-coded covariates and (b) effects of linear, quadratic, interval-coded,
  or categorical covariates when a linear or quadratic covariate changes between distinct
  intervals, the reference category of a categorical variable or the reference interval
  of an interval-coded variable needs to be changed, or some categories of a categorical
  covariate or some intervals of an interval-coded covariate need to be grouped together.
  Approximate standard errors of the unified measures are also calculated. All methods
  that are implemented in this package are described in the ''vignette'' "Extracting
  and Unifying Semi-Elasticities and Effect Sizes from Studies with Binary Dependent
  Variables" that is included in this package.'
authors:
- family-names: Henningsen
  given-names: Arne
  email: arne.henningsen@gmail.com
  orcid: https://orcid.org/0000-0002-6720-0264
- family-names: Henningsen
  given-names: Geraldine
  orcid: https://orcid.org/0000-0002-4651-1039
repository: https://r-forge.r-universe.dev
repository-code: https://r-forge.r-project.org/projects/urbin/
commit: ed30746e4fb2c35d5bc5e0794eb8479c925ef785
url: https://r-forge.r-project.org/projects/urbin/
date-released: '2024-10-01'
contact:
- family-names: Henningsen
  given-names: Arne
  email: arne.henningsen@gmail.com
  orcid: https://orcid.org/0000-0002-6720-0264