Tools for Defensive Programming

Tools for defensive programming, inspired by 'purrr' mappers and based on 'rlang'.'attempt' extends and facilitates defensive programming by providing a consistent grammar, and provides a set of easy to use functions for common tests and conditions. 'attempt' only depends on 'rlang', and focuses on speed, so it can be easily integrated in other functions and used in data analysis.

Text Mining using 'dplyr', 'ggplot2', and Other Tidy Tools

Using tidy data principles can make many text mining tasks easier, more effective, and consistent with tools already in wide use. Much of the infrastructure needed for text mining with tidy data frames already exists in packages like 'dplyr', 'broom', 'tidyr', and 'ggplot2'. In this package, we provide functions and supporting data sets to allow conversion of text to and from tidy formats, and to switch seamlessly between tidy tools and existing text mining packages.

Bindings to Selected 'liblwgeom' Functions for Simple Features

Access to selected functions found in 'liblwgeom' < https://github.com/postgis/postgis/tree/master/liblwgeom>, the light-weight geometry library used by 'PostGIS' < http://postgis.net/>.

Analysis of Heavy Tailed Distributions

An implementation of maximum likelihood estimators for a variety of heavy tailed distributions, including both the discrete and continuous power law distributions. Additionally, a goodness-of-fit based approach is used to estimate the lower cut-off for the scaling region.

Weighted Logrank Tests and NPMLE for Interval Censored Data

Functions to fit nonparametric survival curves, plot them, and perform logrank or Wilcoxon type tests [see Fay and Shaw ].

Exact P-Values and Matching Confidence Intervals for Simple Discrete Parametric Cases

Calculates exact tests and confidence intervals for one-sample binomial and one- or two-sample Poisson cases (see Fay (2010) ).

Exact or Asymptotic Permutation Tests

Perform Exact or Asymptotic permutation tests [see Fay and Shaw ].

An Event-Based Mechanism for 'Shiny'

An event-Based framework for building 'Shiny' apps. Instead of relying on standard 'Shiny' reactive objects, this package allow to relying on a lighter set of triggers, so that reactive contexts can be invalidated with more control.

Access the 'languagelayer' API

Improve your text analysis with languagelayer < https://languagelayer.com>, a powerful language detection API.

Crowd Sourced System Benchmarks

Benchmark your CPU and compare against other CPUs. Also provides functions for obtaining system specifications, such as RAM, CPU type, and R version.