urbin: Unifying Estimation Results with Binary Dependent Variables

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.

Version: 0.1-6
Depends: R (≥ 2.14.0)
Suggests: sampleSelection (≥ 0.7-0), maxLik (≥ 1.1-2), mfx (≥ 1.1), mlogit (≥ 0.3-0), MASS (≥ 7.3-50), mvProbit (≥ 0.1-8)
Published: 2018-11-03
Author: Arne Henningsen, Geraldine Henningsen
Maintainer: Arne Henningsen <arne.henningsen at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://r-forge.r-project.org/projects/urbin/
NeedsCompilation: no
CRAN checks: urbin results


Reference manual: urbin.pdf
Package source: urbin_0.1-6.tar.gz
Windows binaries: r-devel: urbin_0.1-6.zip, r-release: urbin_0.1-6.zip, r-oldrel: urbin_0.1-6.zip
OS X binaries: r-release: urbin_0.1-6.tgz, r-oldrel: urbin_0.1-6.tgz
Old sources: urbin archive


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