address1 |
Origin/Gender discrimination and strongly negative mediatic exposure (information technologist) |
callback |
Data formatting |
callback_comp |
Creates the estimation data for a component model |
gender1 |
Gender/Maternity discrimination (commercial and administrative jobs in the financial sector) |
gender2 |
Gender/Maternity discrimination (electricians) |
gender3 |
Gender/Maternity discrimination (masons) |
gender4 |
Gender/Maternity discrimination (plumbers) |
g_difp |
Difference of proportions plot |
g_ecs |
Exclusive callback shares plot |
g_mcr |
Proportions' comparison plot |
g_raw |
Raw callback rates plot |
g_tcs |
Total callback shares plot |
inter1 |
Gender/Origin discrimination (software developer) |
is.calc |
Computational compatibility |
labour1 |
Labour market history discrimination (accountants) |
labour2 |
Labour market history discrimination (sales assistant) |
mobility1 |
Gender discrimination and mobility (management controller) |
origin1 |
Origin discrimination (accountants) |
origin2 |
Origin discrimination (waiters) |
plot.callback_stat |
Plots for callback rates and shares |
print.callback |
Prints the structure of the experiment |
print.callback_comp |
Prints the structure of a component model |
print.callback_reg |
Prints the components of a component model |
print.callback_stat |
Prints the callback proportions analysis |
print.stat_paired |
Print the callback counts analysis |
reg |
Generic regression function |
reg.callback_comp |
Component model estimation |
reg_als |
Asymptotic least squares estimation |
stat_colsums |
Sums the numeric or logical columns in a data frame. |
stat_ecs |
Exclusive callback shares |
stat_mcr |
Matched callback rates |
stat_paired |
Callback counts on paired data |
stat_raw |
Unmatched callback rates |
stat_signif |
Significance code of a p-value |
stat_tcs |
Total callback shares |
summary.callback_reg |
Prints the regression table of a component model |
train1 |
Training profile impact (plumbers) |
train2 |
Training profile impact (waiters) |