This package provides a low-level interface to the Java VM very much like .C/.Call and friends. It allows the creation of objects, calling methods and accessing fields.

This package provides a collection of dimensionality reduction techniques from R packages and provides a common interface for calling the methods.

This package provides various methods to conduct Spatio-Temporal Analysis and Modelling, including Exploratory Spatio-Temporal Analysis and Inferred Spatio-Temporal Modelling.

This package provides a friendly interface for the construction of regular expressions. Regular expressions are a very powerful feature, however they are often difficult to interpret. Rex allows you to build complex regular expressions from human readable expressions

This package provides a genetic algorithm plus derivative optimizer.

This package provides text and label geometries for ggplot2 that help to avoid overlapping text labels. Labels repel away from each other and away from the data points.

This is a package for the estimation, validation and prediction of kriging models.

This package provides a system for reporting messages, which offers certain useful features over the standard R system, such as the incorporation of output consolidation, message filtering, assertions, expression substitution, automatic generation of stack traces for debugging, and conditional reporting based on the current "output level".

This package provides key-value stores with automatic pruning. Caches can limit either their total size or the age of the oldest object (or both), automatically pruning objects to maintain the constraints.

This package provides model-robust standard error estimators for cross-sectional, time series, clustered, panel, and longitudinal data.

This package allows you to control the number of threads the BLAS library uses. It is also possible to control the number of threads in OpenMP.

This light-weight package helps you track and visualize the progress of parallel versions of vectorized R functions of the mc*apply family.

This package provides tools for calculating the Delaunay triangulation and the Dirichlet or Voronoi tessellation (with respect to the entire plane) of a planar point set. It plots triangulations and tessellations in various ways, clips tessellations to sub-windows, calculates perimeters of tessellations, and summarizes information about the tiles of the tessellation.

Suppose we have data that has so many series that it is hard to identify them by their colors as the differences are so subtle. With gghighlight we can highlight those lines that match certain criteria. The result is a usual ggplot object, so it is fully customizable and can be used with custom themes and facets.

This package provides a new class Formula, which extends the base class formula. It supports extended formulas with multiple parts of regressors on the right-hand side and/or multiple responses on the left-hand side.

This package provides a common interface to specifying clustering models, in the same style as parsnip. It creates a unified interface across different functions and computational engines.

This package provides functions for fitting and working with generalized additive models, as described in chapter 7 of "Statistical Models in S" (Chambers and Hastie (eds), 1991), and "Generalized Additive Models" (Hastie and Tibshirani, 1990).

This package performs the Baumgartner-Weiss-Schindler two-sample test of equal probability distributions (doi:10.2307/2533862). It also performs similar rank-based tests for equal probability distributions due to Neuhauser (doi:10.1080/10485250108832874) and Murakami (doi:10.1080/00949655.2010.551516).

The revgeo procedure allows you to use the Photon geocoder for OpenStreetMap, Google Maps, and Bing to reverse geocode coordinate pairs with minimal hassle.

The package offers functions for analyzing and interactively exploring large-scale single-cell RNA-seq datasets. Pagoda2 primarily performs normalization and differential gene expression analysis, with an interactive application for exploring single-cell RNA-seq datasets. It performs basic tasks such as cell size normalization, gene variance normalization, and can be used to identify subpopulations and run differential expression within individual samples. pagoda2 was written to rapidly process modern large-scale scRNAseq datasets of approximately 1e6 cells. The companion web application allows users to explore which gene expression patterns form the different subpopulations within your data. The package also serves as the primary method for preprocessing data for conos.

This package provides basic infrastructure and some algorithms for the traveling salesperson problem(TSP) (also known as the traveling salesman problem).

This is a package for random number generation for the truncated multivariate normal and Student t distribution. It computes probabilities, quantiles and densities, including one-dimensional and bivariate marginal densities. It computes first and second moments (i.e. mean and covariance matrix) for the double-truncated multinormal case.

This package provides an implementation of an algorithm for general-purpose unconstrained non-linear optimization. The algorithm is of quasi-Newton type with BFGS updating of the inverse Hessian and soft line search with a trust region type monitoring of the input to the line search algorithm. The interface of ucminf is designed for easy interchange with the package optim.

This package provides tools for accurate calculations and visualization of precision-recall and ROC (Receiver Operator Characteristics) curves.