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>.

The primary motivation of this package is to take the things that are great about the R packages 'flextable' <https://davidgohel.github.io/flextable/> and 'officer' <https://davidgohel.github.io/officer/>, take the standard and complex pieces of formatting clinical tables for regulatory use, and simplify the tedious pieces.

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.

Accelerate the process from clinical data to medical publication,
    including clinical data cleaning, significant result screening, and the
    generation of publish-ready tables and figures.

Functions for calculating clinical significance.

Provides measures of effect sizes for summarized continuous variables as well as diagnostic accuracy statistics for 2x2 table data. Includes functions for Cohen's d, robust effect size, Cohen's q, partial eta-squared, coefficient of variation, odds ratio, likelihood ratios, sensitivity, specificity, positive and negative predictive values, Youden index, number needed to treat, number needed to diagnose, and predictive summary index.