survival 1.0.17

A high-performance survival analysis library written in Rust with Python bindings
Documentation 
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use pyo3::prelude::*;
mod concordance;
mod core;
mod matrix;
mod python;
mod regression;
mod residuals;
mod scoring;
mod specialized;
mod surv_analysis;
mod tests;
mod utilities;
mod validation;
pub use concordance::basic::concordance as compute_concordance;
use concordance::basic::concordance as concordance_fn;
pub use concordance::concordance1::perform_concordance1_calculation;
pub use concordance::concordance3::perform_concordance3_calculation;
pub use concordance::concordance5::perform_concordance_calculation;
pub use core::coxcount1::{CoxCountOutput, coxcount1, coxcount2};
pub use core::coxscho::schoenfeld_residuals;
pub use core::pspline::PSpline;
use python::cox_py_callback::cox_callback;
use python::pyears3b::perform_pyears_calculation;
use python::pystep::{perform_pystep_calculation, perform_pystep_simple_calculation};
use regression::aareg::aareg as aareg_function;
pub use regression::aareg::{AaregOptions, aareg};
pub use regression::agfit5::perform_cox_regression_frailty;
pub use regression::blogit::LinkFunctionParams;
pub use regression::clogit::{ClogitDataSet, ConditionalLogisticRegression};
pub use regression::coxph::{CoxPHModel, Subject};
pub use regression::survreg6::{DistributionType, SurvivalFit, survreg};
pub use residuals::agmart::agmart;
pub use residuals::coxmart::coxmart;
pub use scoring::agscore2::perform_score_calculation;
pub use scoring::agscore3::perform_agscore3_calculation;
pub use scoring::coxscore2::cox_score_residuals;
pub use specialized::brier::{brier, integrated_brier};
pub use specialized::cch::{CchMethod, CohortData};
pub use specialized::cipoisson::{cipoisson, cipoisson_anscombe, cipoisson_exact};
pub use specialized::finegray::{FineGrayOutput, finegray};
pub use specialized::norisk::norisk;
pub use surv_analysis::agsurv4::agsurv4;
pub use surv_analysis::agsurv5::agsurv5;
pub use surv_analysis::nelson_aalen::{
    NelsonAalenResult, StratifiedKMResult, nelson_aalen_estimator, stratified_kaplan_meier,
};
pub use surv_analysis::survdiff2::{SurvDiffResult, survdiff2};
pub use surv_analysis::survfitaj::{SurvFitAJ, survfitaj};
pub use surv_analysis::survfitkm::{SurvFitKMOutput, survfitkm};
pub use utilities::agexact::agexact;
pub use utilities::collapse::collapse;
pub use utilities::survsplit::{SplitResult, survsplit};
pub use utilities::tmerge::{tmerge, tmerge2, tmerge3};
pub use validation::bootstrap::{BootstrapResult, bootstrap_cox_ci, bootstrap_survreg_ci};
pub use validation::calibration::{
    CalibrationResult, PredictionResult, RiskStratificationResult, TdAUCResult, calibration,
    predict_cox, risk_stratification, td_auc,
};
pub use validation::crossval::{CVResult, cv_cox_concordance, cv_survreg_loglik};
pub use validation::landmark::{
    ConditionalSurvivalResult, HazardRatioResult, LandmarkResult, LifeTableResult,
    SurvivalAtTimeResult, conditional_survival, hazard_ratio, landmark_analysis,
    landmark_analysis_batch, life_table, survival_at_times,
};
pub use validation::logrank::{
    LogRankResult, TrendTestResult, fleming_harrington_test, logrank_test, logrank_trend,
};
pub use validation::power::{
    AccrualResult, SampleSizeResult, expected_events, power_survival, sample_size_survival,
    sample_size_survival_freedman,
};
pub use validation::rmst::{
    CumulativeIncidenceResult, MedianSurvivalResult, NNTResult, RMSTComparisonResult, RMSTResult,
    cumulative_incidence, number_needed_to_treat, rmst, rmst_comparison, survival_quantile,
};
pub use validation::tests::{
    ProportionalityTest, TestResult, lrt_test, ph_test, score_test, wald_test,
};
use validation::tests::{score_test_py, wald_test_py};
#[pymodule]
fn survival(_py: Python, m: Bound<'_, PyModule>) -> PyResult<()> {
    m.add_function(wrap_pyfunction!(perform_cox_regression_frailty, &m)?)?;
    m.add_function(wrap_pyfunction!(perform_pyears_calculation, &m)?)?;
    m.add_function(wrap_pyfunction!(perform_concordance1_calculation, &m)?)?;
    m.add_function(wrap_pyfunction!(perform_concordance3_calculation, &m)?)?;
    m.add_function(wrap_pyfunction!(perform_concordance_calculation, &m)?)?;
    m.add_function(wrap_pyfunction!(perform_score_calculation, &m)?)?;
    m.add_function(wrap_pyfunction!(perform_agscore3_calculation, &m)?)?;
    m.add_function(wrap_pyfunction!(perform_pystep_calculation, &m)?)?;
    m.add_function(wrap_pyfunction!(perform_pystep_simple_calculation, &m)?)?;
    m.add_function(wrap_pyfunction!(aareg_function, &m)?)?;
    m.add_function(wrap_pyfunction!(collapse, &m)?)?;
    m.add_function(wrap_pyfunction!(cox_callback, &m)?)?;
    m.add_function(wrap_pyfunction!(coxcount1, &m)?)?;
    m.add_function(wrap_pyfunction!(coxcount2, &m)?)?;
    m.add_function(wrap_pyfunction!(norisk, &m)?)?;
    m.add_function(wrap_pyfunction!(cipoisson, &m)?)?;
    m.add_function(wrap_pyfunction!(cipoisson_exact, &m)?)?;
    m.add_function(wrap_pyfunction!(cipoisson_anscombe, &m)?)?;
    m.add_function(wrap_pyfunction!(concordance_fn, &m)?)?;
    m.add_function(wrap_pyfunction!(agexact, &m)?)?;
    m.add_function(wrap_pyfunction!(agsurv4, &m)?)?;
    m.add_function(wrap_pyfunction!(agsurv5, &m)?)?;
    m.add_function(wrap_pyfunction!(agmart, &m)?)?;
    m.add_function(wrap_pyfunction!(coxmart, &m)?)?;
    m.add_function(wrap_pyfunction!(survfitkm, &m)?)?;
    m.add_function(wrap_pyfunction!(survfitaj, &m)?)?;
    m.add_function(wrap_pyfunction!(survdiff2, &m)?)?;
    m.add_function(wrap_pyfunction!(finegray, &m)?)?;
    m.add_function(wrap_pyfunction!(survreg, &m)?)?;
    m.add_function(wrap_pyfunction!(brier, &m)?)?;
    m.add_function(wrap_pyfunction!(integrated_brier, &m)?)?;
    m.add_function(wrap_pyfunction!(tmerge, &m)?)?;
    m.add_function(wrap_pyfunction!(tmerge2, &m)?)?;
    m.add_function(wrap_pyfunction!(tmerge3, &m)?)?;
    m.add_function(wrap_pyfunction!(survsplit, &m)?)?;
    m.add_function(wrap_pyfunction!(schoenfeld_residuals, &m)?)?;
    m.add_function(wrap_pyfunction!(cox_score_residuals, &m)?)?;
    m.add_function(wrap_pyfunction!(bootstrap_cox_ci, &m)?)?;
    m.add_function(wrap_pyfunction!(bootstrap_survreg_ci, &m)?)?;
    m.add_function(wrap_pyfunction!(cv_cox_concordance, &m)?)?;
    m.add_function(wrap_pyfunction!(cv_survreg_loglik, &m)?)?;
    m.add_function(wrap_pyfunction!(lrt_test, &m)?)?;
    m.add_function(wrap_pyfunction!(wald_test_py, &m)?)?;
    m.add_function(wrap_pyfunction!(score_test_py, &m)?)?;
    m.add_function(wrap_pyfunction!(ph_test, &m)?)?;
    m.add_function(wrap_pyfunction!(nelson_aalen_estimator, &m)?)?;
    m.add_function(wrap_pyfunction!(stratified_kaplan_meier, &m)?)?;
    m.add_function(wrap_pyfunction!(logrank_test, &m)?)?;
    m.add_function(wrap_pyfunction!(fleming_harrington_test, &m)?)?;
    m.add_function(wrap_pyfunction!(logrank_trend, &m)?)?;
    m.add_function(wrap_pyfunction!(sample_size_survival, &m)?)?;
    m.add_function(wrap_pyfunction!(sample_size_survival_freedman, &m)?)?;
    m.add_function(wrap_pyfunction!(power_survival, &m)?)?;
    m.add_function(wrap_pyfunction!(expected_events, &m)?)?;
    m.add_function(wrap_pyfunction!(calibration, &m)?)?;
    m.add_function(wrap_pyfunction!(predict_cox, &m)?)?;
    m.add_function(wrap_pyfunction!(risk_stratification, &m)?)?;
    m.add_function(wrap_pyfunction!(td_auc, &m)?)?;
    m.add_function(wrap_pyfunction!(rmst, &m)?)?;
    m.add_function(wrap_pyfunction!(rmst_comparison, &m)?)?;
    m.add_function(wrap_pyfunction!(survival_quantile, &m)?)?;
    m.add_function(wrap_pyfunction!(cumulative_incidence, &m)?)?;
    m.add_function(wrap_pyfunction!(number_needed_to_treat, &m)?)?;
    m.add_function(wrap_pyfunction!(landmark_analysis, &m)?)?;
    m.add_function(wrap_pyfunction!(landmark_analysis_batch, &m)?)?;
    m.add_function(wrap_pyfunction!(conditional_survival, &m)?)?;
    m.add_function(wrap_pyfunction!(hazard_ratio, &m)?)?;
    m.add_function(wrap_pyfunction!(survival_at_times, &m)?)?;
    m.add_function(wrap_pyfunction!(life_table, &m)?)?;
    m.add_class::<AaregOptions>()?;
    m.add_class::<PSpline>()?;
    m.add_class::<CoxCountOutput>()?;
    m.add_class::<LinkFunctionParams>()?;
    m.add_class::<CoxPHModel>()?;
    m.add_class::<Subject>()?;
    m.add_class::<SurvFitKMOutput>()?;
    m.add_class::<SurvFitAJ>()?;
    m.add_class::<FineGrayOutput>()?;
    m.add_class::<SurvivalFit>()?;
    m.add_class::<DistributionType>()?;
    m.add_class::<SurvDiffResult>()?;
    m.add_class::<CchMethod>()?;
    m.add_class::<CohortData>()?;
    m.add_class::<SplitResult>()?;
    m.add_class::<ClogitDataSet>()?;
    m.add_class::<ConditionalLogisticRegression>()?;
    m.add_class::<BootstrapResult>()?;
    m.add_class::<CVResult>()?;
    m.add_class::<TestResult>()?;
    m.add_class::<ProportionalityTest>()?;
    m.add_class::<NelsonAalenResult>()?;
    m.add_class::<StratifiedKMResult>()?;
    m.add_class::<LogRankResult>()?;
    m.add_class::<TrendTestResult>()?;
    m.add_class::<SampleSizeResult>()?;
    m.add_class::<AccrualResult>()?;
    m.add_class::<CalibrationResult>()?;
    m.add_class::<PredictionResult>()?;
    m.add_class::<RiskStratificationResult>()?;
    m.add_class::<TdAUCResult>()?;
    m.add_class::<RMSTResult>()?;
    m.add_class::<RMSTComparisonResult>()?;
    m.add_class::<MedianSurvivalResult>()?;
    m.add_class::<CumulativeIncidenceResult>()?;
    m.add_class::<NNTResult>()?;
    m.add_class::<LandmarkResult>()?;
    m.add_class::<ConditionalSurvivalResult>()?;
    m.add_class::<HazardRatioResult>()?;
    m.add_class::<SurvivalAtTimeResult>()?;
    m.add_class::<LifeTableResult>()?;
    Ok(())
}