fastlogitME: Basic Marginal Effects for Logit Models

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
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

Documentation:

Reference manual: fastlogitME.pdf

Downloads:

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-release (x86_64): fastlogitME_0.1.0.tgz, r-oldrel: fastlogitME_0.1.0.tgz

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