Computes Statistics from Discrimination Experimental Data
Creates the estimation data for a component model
Data formatting
Difference of proportions plot
Exclusive callback shares plot
Proportions' comparison plot
Raw callback rates plot
Total callback shares plot
Computational compatibility
Plots for callback rates and shares
Prints the structure of a component model
Prints the components of a component model
Prints the callback proportions analysis
Prints the structure of the experiment
Print the callback counts analysis
Asymptotic least squares estimation
Component model estimation
Generic regression function
Sums the numeric or logical columns in a data frame.
Exclusive callback shares
Matched callback rates
Callback counts on paired data
Unmatched callback rates
Significance code of a p-value
Total callback shares
Prints the regression table of a component model
In discrimination experiments candidates are sent on the same test (e.g. job, house rental) and one examines whether they receive the same outcome. The number of non negative answers are first examined in details looking for outcome differences. Then various statistics are computed. This package can also be used for analyzing the results from random experiments.