Provides an R interface for the PROFOUND database <doi:10.5880/PIK.2019.008>. The 
    PROFOUND database contains a wide range of data  to evaluate vegetation models and simulate climate 
    impacts at the forest stand scale. It includes 9 forest sites across Europe, and provides for them a site 
    description as well as soil, climate, CO2, Nitrogen deposition, tree-level, forest stand-level 
    and remote sensing data. Moreover, for a subset of 5 sites, also time series of carbon fluxes, 
    energy balances and soil water are available.

An alternative data structure and visual rendering
    for the profiling information generated by Rprof.

Calculates profile repeatability for replicate stress response 
  curves, or similar time-series data. Profile repeatability is an individual 
  repeatability metric that uses the variances at each timepoint, the maximum 
  variance, the number of crossings (lines that cross over each other), and 
  the number of replicates to compute the repeatability score. 
  For more information see Reed et al. (2019) <doi:10.1016/j.ygcen.2018.09.015>.

Tools for examining Rprof profile output.

Interactive visualizations for profiling R code.

Implementing the Progeny Clustering algorithm, the 'progenyClust' package assesses the clustering stability and identifies the optimal clustering number for a given data matrix. It uses k-means clustering as a default, provides a tailored hierarchical clustering function, and can be customized to work with other clustering algorithms and different parameter settings. The package includes a main function progenyClust(), plot and summary methods for 'progenyClust' object, a function hclust.progenyClust() for hierarchical clustering, and two example datasets (test and cell) for testing.

A novel tool to identify candidate driver modules for predicting the prognosis of patients by integrating exclusive coverage of mutations with clinical characteristics in cancer.

Configurable Progress bars, they may include percentage,
    elapsed time, and/or the estimated completion time. They work in
    terminals, in 'Emacs' 'ESS', 'RStudio', 'Windows' 'Rgui' and the
    'macOS' 'R.app'. The package also provides a 'C++' 'API', that works
    with or without 'Rcpp'.