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ViSe (version 0.1.3)

Visualizing Sensitivity

Description

Designed to help the user to determine the sensitivity of an proposed causal effect to unconsidered common causes. Users can create visualizations of sensitivity, effect sizes, and determine which pattern of effects would support a causal claim for between group differences. Number needed to treat formula from Kraemer H.C. & Kupfer D.J. (2006) .

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Version

Install

install.packages('ViSe')

Monthly Downloads

134

Version

0.1.3

License

LGPL-3

Maintainer

Erin M. Buchanan

Last Published

October 10th, 2024

Functions in ViSe (0.1.3)

calculate_d

\(d_s\) for Between Subjects with Pooled SD Denominator
d_to_nnt

Convert d to Number Needed to Treat
runExample

Run Shiny App
other_to_d

Convert other statistics to d
proportion_overlap

Proportion Overlap Calculations for Cohen's d
visualize_effects

Visualization for Conversions of Effect Sizes
visualize_c_map

Visualization for Estimating c Bias + Estimates
adjusted_coef

Adjust coefficient for confounders
apa

APA Format
d_to_r

Convert d to correlation coefficient
estimate_r

Visualization for Estimating \(r\)
d_to_f2

Convert d to Cohen's f
probability_superiority

Probability of Superiority Calculation
visualize_c

Visualization for Estimating c Bias
estimate_d

Visualization for Estimating \(d_s\)