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sensemakr (version 0.1.2)

Sensitivity Analysis Tools for OLS

Description

Implements a suite of sensitivity analysis tools that extends the traditional omitted variable bias framework and makes it easier to understand the impact of omitted variables in regression models, as discussed in Cinelli and Hazlett (2018) .

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Install

install.packages('sensemakr')

Monthly Downloads

1,280

Version

0.1.2

License

GPL-3

Issues

11

Pull Requests

0

Stars

94

Forks

16

Maintainer

Carlos Cinelli

Last Published

August 5th, 2019

Functions in sensemakr (0.1.2)

group_partial_r2

Partial R2 of groups of covariates in a linear regression model
ovb_bounds

Bounds on the strength of unobserved confounders using observed covariates
plot.sensemakr

Sensitivity analysis plots for sensemakr
print.sensemakr

Sensitivity analysis print and summary methods for sensemakr
ovb_extreme_plot

Extreme scenarios plots of omitted variable bias
add_bound_to_contour

Add bounds to contour plot of omitted variable bias
darfur

Data from survey of Darfurian refugees in eastern Chad.
adjusted_estimate

Bias-adjusted estimates, standard-errors and t-values
partial_r2

Computes the partial R2 and partial (Cohen's) f2
robustness_value

Computes the robustness value
sensemakr-package

Sensemakr: extending omitted variable bias
sensemakr

Sensitivity analysis to unobserved confounders
sensitivity_stats

Sensitivity statistics for regression coefficients
ovb_contour_plot

Contour plots of omitted variable bias