Helper functions for package creation, building and
    maintenance. Designed to work with a build system such as 'GNU make' or
    package 'fakemake' to help you to conditionally work through the stages of
    package development (such as spell checking, linting, testing, before
    building and checking a package).

Compute and visualize the cross-sectional and longitudinal number
    and rank percentile of package downloads from Posit/RStudio's CRAN mirror.

Algorithms to find arrangements of non-overlapping circles.

A collection of functions to construct Markov model for model-based 
    cost-effectiveness analysis. This includes creating Markov model (both time
    homogenous and time dependent models), decision analysis, sensitivity 
    analysis (deterministic and probabilistic). The package allows estimation 
    of parameters for the Markov model from a given individual patient level 
    data, provided the data file follows some standard data entry rules.

Enforces good practice and provides convenience functions to make work with 'JavaScript' 
  not just easier but also scalable. It is a robust wrapper to 'NPM', 'yarn', and 'webpack' that 
  enables to compartmentalize 'JavaScript' code, leverage 'NPM' and 'yarn' packages, include
  'TypeScript', 'React', or 'Vue' in web applications, and much more.

Various useful functions for statisticians: describe data, plot Kaplan-Meier curves with numbers of subjects at risk, compare data sets, display spaghetti-plot, build multi-contingency tables...

Several functions are provided to implement a MBPLSDA : components search, optimal model components number search, optimal model validity test by permutation tests, observed values evaluation of optimal model parameters and predicted categories, bootstrap values evaluation of optimal model parameters and predicted cross-validated categories. The use of this package is described in Brandolini-Bunlon et al (2019. Multi-block PLS discriminant analysis for the joint analysis of metabolomic and epidemiological data. Metabolomics, 15(10):134).