A clinical significance analysis can be used to determine if an 
    intervention has a meaningful or practical effect for patients. You provide 
    a tidy data set plus a few more metrics and this package will take care of 
    it to make your results publication ready.

Provides estimates of several summary measures for clinical trials including
    the average hazard ratio, the weighted average hazard ratio, the restricted 
    superiority probability ratio, the restricted mean survival difference and 
    the ratio of restricted mean times lost, based on the short-term and 
    long-term hazard ratio model (Yang, 2005 <doi:10.1093/biomet/92.1.1>) 
    which accommodates various non-proportional hazards scenarios. The inference
    procedures and the asymptotic results for the summary measures are discussed 
    in Yang (2018, <doi:10.1002/sim.7676>).

Recalibrate risk scores (predicting binary outcomes) to improve clinical utility of risk score using weighted logistic or constrained logistic recalibration methods. Additionally, produces plots to assess the potential for recalibration to improve the clinical utility of a risk model. Methods are described in detail in Mishra, A. (2019) "Methods for Risk Markers that Incorporate Clinical Utility" <http://hdl.handle.net/1773/44068>.

Every research team have their own script for calculation of hemodynamic indexes. 
   This package makes it possible  to insert a long-format dataframe, and add both 
   periods of interest (trigger-periods), and delete artifacts with deleter-files.

Provides equations commonly used in clinical
        pharmacokinetics and clinical pharmacology, such as equations
        for dose individualization, compartmental pharmacokinetics,
        drug exposure, anthropomorphic calculations, clinical
        chemistry, and conversion of common clinical parameters. Where
        possible and relevant, it provides multiple published and
        peer-reviewed equations within the respective R function.

Functions for calculating clinical significance.