R: Conditional Independence of Missingness Test

# Conditional Independence of Missingness Test

## Documentation for package ‘citestR’ version 0.1.1

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

calibration_pivot | Generate a calibration pivot table
ci_test | Run the conditional independence test
compute_kappa | Compute theoretical imputation bias kappa
ensure_server | Ensure the server is running
get_summary | Get a summary of test results
has_server | Check whether the citest server is running
imputer_r2 | Estimate imputer out-of-sample R-squared
install_backend | Install the citest Python backend
kappa_calibration_table | Generate a kappa calibration table
make_dataset | Create a dataset on the server
make_dataset_parquet | Create a dataset from a Parquet file
print.citest_result | Print a citest result
print.citest_summary | Print a citest summary
simulate_data | Generate a simulated dataset
start_server | Start the citest API server
stop_server | Stop the citest API server
uninstall_backend | Uninstall the citest Python backend
update_backend | Update the citest Python backend