Prioritize Variables with Joint Variable Importance Plot in Observational Study Design

Documentation for package ‘jointVIP’ version 0.1.2

add_bias_curves	support function to plot bias curves
add_variable_labels	support function to plot variable text labels
bootstrap.plot	plot the bootstrap version of the jointVIP object
ceiling_dec	support function for ceiling function with decimals
check_measures	Check measures Check to see if there is any missing values or variables without any variation or identical rows (only unique rows will be used)
create_jointVIP	create jointVIP object
create_post_jointVIP	create jointVIP object
floor_dec	support function for floor function with decimals
get_boot_measures	Calculate bootstrapped variation additional tool to help calculate the uncertainty of each variable's bias
get_measures	Prepare data frame to plot standardized omitted variable bias Marginal standardized mean differences and outcome correlation
get_post_measures	Post-measures data frame to plot post-standardized omitted variable bias
plot.jointVIP	plot the jointVIP object
plot.post_jointVIP	plot the post_jointVIP object this plot uses the same custom options as the jointVIP object
print.jointVIP	Obtains a print for jointVIP object
print.post_jointVIP	Obtains a print for post_jointVIP object
summary.jointVIP	Obtains a summary jointVIP object
summary.post_jointVIP	Obtains a summary post_jointVIP object