Easy Dockerfile Creation from R

Build a Dockerfile straight from your R session. 'dockerfiler' allows you to create step by step a Dockerfile, and provide convenient tools to wrap R code inside this Dockerfile.

String Distance Calculation with Tidy Data Principles

Calculation of string distance following the tidy data principles. Built on top of the 'stringdist' package.

Key Derivation Functions for R Based on Scrypt

Functions for working with the scrypt key derivation functions originally described by Colin Percival < https://www.tarsnap.com/scrypt/scrypt.pdf> and in Percival and Josefsson (2016) . Scrypt is a password-based key derivation function created by Colin Percival. The algorithm was specifically designed to make it costly to perform large-scale custom hardware attacks by requiring large amounts of memory.

Data Structures, Summaries, and Visualisations for Missing Data

Missing values are ubiquitous in data and need to be explored and handled in the initial stages of analysis. 'naniar' provides data structures and functions that facilitate the plotting of missing values and examination of imputations. This allows missing data dependencies to be explored with minimal deviation from the common work patterns of 'ggplot2' and tidy data. The work is fully discussed at Tierney & Cook (2023) .

Beta Product Confidence Procedure for Right Censored Data

Calculates nonparametric pointwise confidence intervals for the survival distribution for right censored data, and for medians [Fay and Brittain ]. Has two-sample tests for dissimilarity (e.g., difference, ratio or odds ratio) in survival at a fixed time, and differences in medians [Fay, Proschan, and Brittain ]. Basically, the package gives exact inference methods for one- and two-sample exact inferences for Kaplan-Meier curves (e.g., generalizing Fisher's exact test to allow for right censoring), which are especially important for latter parts of the survival curve, small sample sizes or heavily censored data. Includes mid-p options.

Generate Fake Datasets for Prototyping and Teaching

Create fake datasets that can be used for prototyping and teaching. This package provides a set of functions to generate fake data for a variety of data types, such as dates, addresses, and names. It can be used for prototyping (notably in 'shiny') or as a tool to teach data manipulation and data visualization.

Lorem-Ipsum-Like Helpers for Fast Shiny Prototyping

Prototype your shiny apps quickly with these Lorem-Ipsum-like Helpers.

Stock Assessment Graphs Database Web Services

R interface to access the web services of the ICES Stock Assessment Graphs database < https://sg.ices.dk>.

Sample Size Adjusted for Nonadherence or Variability of Input Parameters

A set of functions to calculate sample size for two-sample difference in means tests. Does adjustments for either nonadherence or variability that comes from using data to estimate parameters.

'RStudio' Addins to Simplify 'Markdown' Writing

An 'RStudio' addin providing shortcuts for writing in 'Markdown'. This package provides a series of functions that allow the user to be more efficient when using 'Markdown'. For example, you can select a word, and put it in bold or in italics, or change the alignment of elements inside you Rmd. The idea is to map all the functionalities from 'remedy' on keyboard shortcuts, so that it provides an interface close to what you can find in any other text editor.