CRAN/E | fastlogitME

fastlogitME

Basic Marginal Effects for Logit Models

Installation

About

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.

Key Metrics

Version 0.1.0
Published 2020-11-05 1276 days ago
Needs compilation? no
License GPL-2
License GPL-3
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Maintainer

Maintainer

Mathieu Steijn

m.p.a.steijn@uu.nl

Authors

Mathieu Steijn

Material

README
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Imports

stats

Enhances

speedglm