A collection of functions to read, write and manipulate video
    subtitles. Supported formats include 'srt', 'subrip', 'sub', 'subviewer',
    'microdvd', 'ssa', 'ass', 'substation', 'vtt', and 'webvtt'.

Contains methods for the simulation of positive tempered stable distributions and related subordinators. Including classical tempered stable, rapidly deceasing tempered stable, truncated stable, truncated tempered stable, generalized Dickman, truncated gamma, generalized gamma, and p-gamma. For details, see Dassios et al (2019) <doi:10.1017/jpr.2019.6>, Dassios et al (2020) <doi:10.1145/3368088>, Grabchak (2021) <doi:10.1016/j.spl.2020.109015>.

A systematic biology tool was developed to prioritize cancer subtype-specific drugs by integrating genetic perturbation, drug action, biological pathway, and cancer subtype. 
    The capabilities of this tool include inferring patient-specific subpathway activity profiles in the context of gene expression profiles with subtype labels, calculating differentially 
    expressed subpathways based on cultured human cells treated with drugs in the 'cMap' (connectivity map) database, prioritizing cancer subtype specific drugs according to drug-disease 
    reverse association score based on subpathway, and visualization of results (Castelo (2013) <doi:10.1186/1471-2105-14-7>; Han et al (2019) <doi:10.1093/bioinformatics/btz894>; Lamb and Justin (2006) <doi:10.1126/science.1132939>). Please cite using <doi:10.1093/bioinformatics/btab011>.

Substitution matrices are important parameters in protein alignment algorithms. These matrices represent the likelihood that an amino acid will be substituted for another during mutation. This tool allows users to apply predefined and custom matrices and then explore the resulting alignments with interactive visualizations.  'SubVis' requires the availability of a web browser.

Quality control charts for survival outcomes.
    Allows users to construct the Continuous Time Generalized
    Rapid Response CUSUM (CGR-CUSUM) <doi:10.1093/biostatistics/kxac041>, 
    the Biswas & Kalbfleisch (2008)  <doi:10.1002/sim.3216> CUSUM, 
    the Bernoulli CUSUM and the risk-adjusted funnel plot for survival data 
    <doi:10.1002/sim.1970>. 
    These procedures can be used to monitor survival processes for a change 
    in the failure rate.