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Calculates marginal effects based on logistic model objects such as 'glm' or 'speedglm' at the average (default) or at given values using finite differences. It also returns confidence intervals for said marginal effects and the p-values, which can easily be used as input in stargazer. The function only returns the essentials and is therefore much faster but not as detailed as other functions available to calculate marginal effects. As a result, it is highly suitable for large datasets for which other packages may require too much time or calculating power.
| Version: | 0.1.0 |
| Imports: | stats |
| Enhances: | speedglm |
| Published: | 2020-11-05 |
| DOI: | 10.32614/CRAN.package.fastlogitME |
| Author: | Mathieu Steijn |
| Maintainer: | Mathieu Steijn <m.p.a.steijn at uu.nl> |
| License: | GPL-2 | GPL-3 [expanded from: GPL] |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | fastlogitME results |
| Reference manual: | fastlogitME.pdf |
| Package source: | fastlogitME_0.1.0.tar.gz |
| Windows binaries: | r-devel: fastlogitME_0.1.0.zip, r-release: fastlogitME_0.1.0.zip, r-oldrel: fastlogitME_0.1.0.zip |
| macOS binaries: | r-release (arm64): fastlogitME_0.1.0.tgz, r-oldrel (arm64): fastlogitME_0.1.0.tgz, r-release (x86_64): fastlogitME_0.1.0.tgz, r-oldrel (x86_64): fastlogitME_0.1.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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