urbin (0.18)
Unifying Estimation Results with Binary Dependent Variables.
http://rforge.rproject.org/projects/urbin/
http://cran.rproject.org/web/packages/urbin
Calculate unified measures that quantify the effect of a covariate on a binary dependent variable (e.g., for metaanalyses). 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, intervalcoded, ...). The calculated unified measures are: (a) semielasticities of linear, quadratic, or intervalcoded covariates and (b) effects of linear, quadratic, intervalcoded, 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 intervalcoded variable needs to be changed, or some categories of a categorical covariate or some intervals of an intervalcoded 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 SemiElasticities and Effect Sizes from Studies with Binary Dependent Variables" that is included in this package.
Maintainer:
Arne Henningsen
Author(s): Arne Henningsen, Geraldine Henningsen
License: GPL (>= 2)
Uses: maxLik, mlogit, sampleSelection, MASS, mvProbit, knitr, stargazer, mfx
Released 4 months ago.
2 previous versions
 urbin_0.16. Released 8 months ago.
 urbin_0.14. Released 8 months ago.
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