Contains functions to detect and visualise periods of climate
    sensitivity (climate windows) for a given biological response. 
    Please see van de Pol et al. (2016) <doi:10.1111/2041-210X.12590> 
    and Bailey and van de Pol (2016) <doi:10.1371/journal.pone.0167980> for details.

Creation of interactive tables, listings and figures ('TLFs') 
  and associated report for exploratory analysis of data in a clinical trial, 
  e.g. for clinical oversight activities.
  Interactive figures include sunburst, treemap, scatterplot, line plot and
  barplot of counts data. 
  Interactive tables include table of summary statistics
  (as counts of adverse events, enrollment table) and listings.
  Possibility to compare data (summary table or listing) across two data batches/sets.
  A clinical data review report is created via study-specific configuration 
  files and template 'R Markdown' reports contained in the package.

Bayesian and ML Emax model fitting, graphics and simulation for clinical dose
    response.  The summary data from the dose response meta-analyses in  
    Thomas, Sweeney, and Somayaji (2014) <doi:10.1080/19466315.2014.924876> and
    Thomas and Roy (2016) <doi:10.1080/19466315.2016.1256229> 
    Wu, Banerjee, Jin, Menon, Martin, and Heatherington(2017) <doi:10.1177/0962280216684528> 
    are included 
    in the package.  The prior distributions for the Bayesian analyses default to
    the posterior predictive distributions derived from these references.

Utilities to make your clinical collaborations easier if not
          fun. It contains functions for designing studies such as Simon
          2-stage and group sequential designs and for data analysis such
          as Jonckheere-Terpstra test and estimating survival quantiles.

A collection of tools to easily analyze clinical data, including functions for correlation analysis, 
  and statistical testing. The package facilitates the integration of clinical metadata with other omics layers, 
  enabling exploration of quantitative variables. It also includes the utility for frequency matching samples across 
  a dataset based on patient variables.