A bioinformatics tool for the estimation of the tumor purity from sequencing data. 
    It uses the set of putative clonal somatic single nucleotide variants within copy number neutral
    segments to call tumor cellularity.

Calculates the number of true positives and false positives from a dataset formatted for Jackknife alternative free-response receiver operating characteristic which is used for statistical analysis which is explained in the book 'Chakraborty' 'DP' (2017), "Observer Performance Methods for Diagnostic Imaging - Foundations, Modeling, and Applications with R-Based Examples", Taylor-Francis <https://www.crcpress.com/9781482214840>.

Uses thresholded partial least squares algorithm to create a regression or classification model. For more information, see Lee, Bradlow, and Kable <doi:10.1016/j.crmeth.2022.100227>.

A traceability focused tool created to simplify the data manipulation necessary to create clinical summaries.

Provides a simple approach for constructing dynamic materials
 modeling suggested by Prasad and Gegel (1984) <doi:10.1007/BF02664902>. It
 can easily generate various processing-maps based on this model as well. The
 calculation result in this package contains full materials constants, information
 about power dissipation efficiency factor, and rheological properties, can
 be exported completely also, through which further analysis and customized
 plots will be applicable as well.

Estimation of transition probabilities for the
	illness-death model and or the three-state progressive model.

Provide data generation and estimation tools for the truncated positive normal (tpn)
             model discussed in Gomez, Olmos, Varela and Bolfarine (2018) 
             <doi:10.1007/s11766-018-3354-x>, the slash tpn distribution discussed in Gomez, 
             Gallardo and Santoro (2021) <doi:10.3390/sym13112164>, the bimodal tpn distribution 
             discussed in Gomez et al. (2022) <doi:10.3390/sym14040665> and the flexible tpn model.

Regression models for temporal process responses with
        time-varying coefficient.