Online PCA for multivariate and functional data using perturbation methods, low-rank incremental methods, and stochastic optimization methods.

Simplifies the creation of xlsx files by providing a high level interface to writing, styling and editing worksheets.

This package provides functions for transforming and viewing 2-D and 3-D (oceanographic) data and model output.

To take nested function calls and convert them to a more readable form using pipes from package magrittr'.

Density, distribution function, quantile function and random generation for the q-gaussian distribution with parameters mu and sig.

Include interactive sparkline charts <http://omnipotent.net/jquery.sparkline> in all R contexts with the convenience of htmlwidgets'.

Functionality to parse server-sent events with a high-level interface that can be extended for custom applications.

The implementation of SHAPBoost, a boosting-based feature selection technique that ranks features iteratively based on Shapley values.

Computes multivariate normal (MVN) densities, and samples from MVN distributions, when the covariance or precision matrix is sparse.

Please see the shinytest to shinytest2 migration guide at <https://rstudio.github.io/shinytest2/articles/z-migration.html>.

Calculates empirical TL-moments (trimmed L-moments) of arbitrary order and trimming, and converts them to distribution parameters.

Code snippets to fit models using the tidymodels framework can be easily created for a given data set.

Historical results for the state of Virginia lottery draw games. Data were downloaded from https://www.valottery.com/.

Automate the acquisition, quality control, analysis, and visualization of spectral data collected by the WISPstation fixed spectroradiometer.

Download financial market data, company information, financial statements, options data, and more from the unofficial Yahoo Finance API.

For a sequence of event occurence times, we are interested in finding subsequences in it that are too "regular". We define regular as being significantly different from a homogeneous Poisson process. The departure from the Poisson process is measured using a L1 distance. See Di and Perlman 2007 for more details.

This package is a pipeline to identify the key gene regulators in a biological process, for example in cell differentiation and in cell development after stimulation. There are four major steps in this pipeline: (1) differential expression analysis; (2) regulator-target network inference; (3) enrichment analysis; and (4) regulators scoring and ranking.

Quantifies submission risk using a Failure Modes and Effects Analysis (FMEA)-inspired framework (probability, impact, detectability). Builds risk registers from evidence, computes Risk Priority Numbers (RPN), classifies risk levels, and emits standardized R4SUB (R for Regulatory Submission) evidence table rows via r4subcore'. Supports risk mitigation tracking and trend analysis across submission milestones.

This is a port of Jonathan Shewchuk's Triangle library to R. From his description: "Triangle generates exact Delaunay triangulations, constrained Delaunay triangulations, conforming Delaunay triangulations, Voronoi diagrams, and high-quality triangular meshes. The latter can be generated with no small or large angles, and are thus suitable for finite element analysis.".

This package computes spherical trigonometry for geographic applications. That is, compute distances and related measures for angular (longitude/latitude) locations.

This is a package for drawing calibrated scales with tick marks on (non-orthogonal) variable vectors in scatterplots and biplots.

This package contains a simple SMTP client which provides a portable solution for sending email, including attachments, from within R.

This is a Python package for rendering rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal.

TTFunk is a TrueType font parser written in pure Ruby. It is used as part of the Prawn PDF generator.