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sensemakr (version 0.1.6)

Sensitivity Analysis Tools for Regression Models

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, C. and Hazlett, C. (2020), "Making Sense of Sensitivity: Extending Omitted Variable Bias." Journal of the Royal Statistical Society, Series B (Statistical Methodology) .

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Install

install.packages('sensemakr')

Monthly Downloads

1,280

Version

0.1.6

License

GPL-3

Issues

11

Pull Requests

0

Stars

94

Forks

16

Maintainer

Carlos Cinelli

Last Published

July 22nd, 2024

Functions in sensemakr (0.1.6)

ovb_extreme_plot

Extreme scenarios plots of omitted variable bias
ovb_contour_plot

Contour plots of omitted variable bias
adjusted_critical_value

Bias-adjusted critical values
add_bound_to_contour

Add bounds to contour plot of omitted variable bias
sensemakr

Sensitivity analysis to unobserved confounders
sensemakr-package

Sensemakr: extending omitted variable bias
sensitivity_stats

Sensitivity statistics for regression coefficients
resid_maker

Creates orthogonal residuals
partial_r2

Computes the partial R2 and partial (Cohen's) f2
print.sensemakr

Sensitivity analysis print and summary methods for sensemakr
plot.sensemakr

Sensitivity analysis plots for sensemakr
robustness_value

Computes the (extreme) robustness value
adjusted_estimate

Bias-adjusted estimates, standard-errors, t-values and confidence intervals
model_helper

Helper function for extracting model statistics
ovb_bounds

Bounds on the strength of unobserved confounders using observed covariates
group_partial_r2

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

Data from the 2016 referendum for peace with the FARC in Colombia.
darfur

Data from survey of Darfurian refugees in eastern Chad.