Performing the hypothesis tests for the two
    sample problem based on order statistics and power comparisons. 
    Calculate the test statistic, density, distribution function, 
    quantile function, random number generation and others.

Provides access to the Taxonomic Name Resolution Service <https://github.com/ojalaquellueva/tnrsapi> through R.  The user supplies plant taxonomic names and the package returns resolved taxonomic names along with information on decisions.  Optionally, the package can also be used to parse taxonomic names.

An assortment of functions and templates customized to meet 
    the needs of data analysts at the non-profit organization TNTP. 
    Includes functions for branded colors and plots, credentials management,
    repository set-up, and other common analytic tasks.

Create interactive tables, calendars and charts with 'TOAST UI' <https://ui.toast.com/> libraries to
  integrate in 'shiny' applications or 'rmarkdown' 'HTML' documents.

Construction of the Total Operating Characteristic (TOC) Curve and the Receiver (aka Relative) Operating Characteristic (ROC) Curve for spatial and non-spatial data. The TOC method is a modification of the ROC method which measures the ability of an index variable to diagnose either presence or absence of a characteristic. The diagnosis depends on whether the value of an index variable is above a threshold. Each threshold generates a two-by-two contingency table, which contains four entries: hits (H), misses (M), false alarms (FA), and correct rejections (CR). While ROC shows for each threshold only two ratios, H/(H + M) and FA/(FA + CR), TOC reveals the size of every entry in the contingency table for each threshold (Pontius Jr., R.G., Si, K. 2014. <doi:10.1080/13658816.2013.862623>).

This is a simple addin to 'RStudio' that finds all 'TODO', 'FIX ME', 'CHANGED' etc. comments in your project and shows them as a markers list.

Use the <https://toggl.com> time tracker api through R.

Approximations of global p-values when testing hypothesis in presence of non-identifiable nuisance parameters. The method relies on the Euler characteristic heuristic and the expected Euler characteristic is efficiently computed by  in Algeri and van Dyk (2018) <arXiv:1803.03858>.