latex2exp parses and converts LaTeX math formulas to R's plotmath expressions, used to enter mathematical formulas and symbols to be rendered as text, axis labels, etc. throughout R's plotting system.

This package helps you to automate R package and project setup tasks that are otherwise performed manually. This includes setting up unit testing, test coverage, continuous integration, Git, GitHub integration, licenses, Rcpp, RStudio projects, and more.

This package simplifies the creation of Excel .xlsx files by providing a high level interface to writing, styling and editing worksheets. Through the use of Rcpp, read/write times are comparable to the xlsx and XLConnect packages with the added benefit of removing the dependency on Java.

This package provides tools to identify and read BMP, JPEG, PNG, and TIFF format bitmap images. Identification defaults to the use of the magic number embedded in the file rather than the file extension.

This package provides response time distributions (density/PDF, distribution function/CDF, quantile function, and random generation):

• Ratcliff diffusion model (Ratcliff & McKoon, 2008, <doi:10.1162/neco.2008.12-06-420>) based on C code by Andreas and Jochen Voss and

• linear ballistic accumulator (LBA; Brown & Heathcote, 2008, <doi:10.1016/j.cogpsych.2007.12.002>) with different distributions underlying the drift rate.

This package provides a set of utilities for client/server computing with R, controlling a remote R session (the server) from a local one (the client).

This package provides simple and secure authentication mechanism for single Shiny applications. Credentials are stored in an encrypted SQLite database.

This package provides functions for importing external vector images and drawing them as part of R plots. This package is different from the grImport package because, where that package imports PostScript format images, this package imports SVG format images. Furthermore, this package imports a specific subset of SVG, so external images must be preprocessed using a package like rsvg to produce SVG that this package can import. SVG features that are not supported by R graphics, such as gradient fills, can be imported and then exported via the gridSVG package.

This package provides several layout algorithms to visualize networks which are not part of the igraph library. Most are based on the concept of stress majorization by Gansner et al. (2004) <doi:10.1007/978-3-540-31843-9_25>. Some more specific algorithms emphasize hidden group structures in networks or focus on specific nodes.

This package provides an R interface to the Tabler HTML template. tablerDash is a light Bootstrap 4 dashboard template. There are different layouts available such as a one page dashboard or a multi-page template, where the navigation menu is contained in the navigation bar.

This package provides zm, a utility that allows you to zoom/navigate any plot when called with any active plot.

This package provides an implementation of a data cube extracted out of dplyr for backward compatibility.

This package provides empirical likelihood ratio tests for means/quantiles/hazards from possibly censored and/or truncated data. It also does regression.

This package provides extended data frames, with a special data frame column which contains two indexes, with potentially a nesting structure.

The range of functions provided by this package makes it possible to draw highly versatile genomic sequence logos. Features include, but are not limited to, modifying colour schemes and fonts used to draw the logo, generating multiple logo plots, and aiding the visualisation with annotations. Sequence logos can easily be combined with other ggplot2 plots.

This package provides a stepwise approach to identifying recombination breakpoints in a genomic sequence alignment.

Reshape2 is an R library to flexibly restructure and aggregate data using just two functions: melt and dcast (or acast).

This package provides an integrated set of functions for the analysis of multivariate normal datasets with missing values, including implementation of the EM algorithm, data augmentation, and multiple imputation.

Compute time-dependent ROC curve from censored survival data using Kaplan-Meier (KM) or Nearest Neighbor Estimation (NNE) method of Heagerty, Lumley & Pepe (Biometrics, Vol 56 No 2, 2000, PP 337-344)

The package converts the input in any one of character, integer, numeric, factor, or an ordered type into POSIXct (or Date) objects, using one of a number of predefined formats, and relying on Boost facilities for date and time parsing.

NbClust provides 30 indexes for determining the optimal number of clusters in a data set and offers the best clustering scheme from different results to the user.

Maximum likelihood computations for Tweedie families, including the series expansion (Dunn and Smyth, 2005; <doi10.1007/s11222-005-4070-y>) and the Fourier inversion (Dunn and Smyth, 2008; <doi:10.1007/s11222-007-9039-6>), and related methods.

The two main functionalities of this package are creating mock objects (functions) and selectively intercepting calls to a given function that originate in some other function. It can be used with any testing framework available for R. Mock objects can be injected with either this package's own stub function or a similar with_mock facility present in the testthat package.

This package provides tools for the calibration of penalized criteria for model selection. The calibration methods available are based on the slope heuristics.