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This package enables construction of continuous and non-contiguous area cartograms.
Missing values are ubiquitous in data and need to be explored and handled in the initial stages of analysis. The package 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.
This package provides functions for latent class analysis, short time Fourier transform, fuzzy clustering, support vector machines, shortest path computation, bagged clustering, naive Bayes classifier, and more.
This package provides a set of predicates and assertions for checking the types of variables. This is mainly for use by other package developers who want to include run-time testing features in their own packages.
This package provides a low-level spell checker and morphological analyzer based on the famous hunspell library. The package can analyze or check individual words as well as parse text, LaTeX, HTML or XML documents. For a more user-friendly interface use the spelling package which builds on this package to automate checking of files, documentation and vignettes in all common formats.
This package provides a ggplot2 extension for drawing gene arrow maps.
This package provides iterative methods for matrix completion that use nuclear-norm regularization. The package includes procedures for centering and scaling rows, columns or both, and for computing low-rank single value decompositions (SVDs) on large sparse centered matrices (i.e. principal components).
This package provides a fast implementation of hierarchical clustering.
This package provides a library for rolling windows operations. The package enables full control over the window length, window lag, and time indices. With a runner one can apply any R function on rolling windows. The package eases work with equally and unequally spaced time series.
Circular layout is an efficient way to visualise huge amounts of information. This package provides an implementation of circular layout generation in R as well as an enhancement of available software. Its flexibility is based on the usage of low-level graphics functions such that self-defined high-level graphics can be easily implemented by users for specific purposes. Together with the seamless connection between the powerful computational and visual environment in R, it gives users more convenience and freedom to design figures for better understanding complex patterns behind multi-dimensional data.
This package provides an R wrapper for the special functions and quasi random number generators of the GNU Scientific Library.
ZeroMQ is a well-known library for high-performance asynchronous messaging in scalable, distributed applications. This package provides high level R wrapper functions to easily utilize ZeroMQ. The main focus is on interactive client/server programming frameworks. A few wrapper functions compatible with rzmq are also provided.
This package provides interactive plotting functions for use within RStudio. The manipulate function accepts a plotting expression and a set of controls (e.g. slider, picker, checkbox, or button) which are used to dynamically change values within the expression. When a value is changed using its corresponding control the expression is automatically re-executed and the plot is redrawn.
The TOML configuration format specifies an excellent format suitable for both human editing as well as the common uses of a machine-readable format. This package provides Rcpp bindings to a TOML parser.
This package provides Gaussian finite mixture models fitted via EM algorithm for model-based clustering, classification, and density estimation, including Bayesian regularization, dimension reduction for visualisation, and resampling-based inference.
This package provides functions to compute the distribution function of quadratic forms in normal variables using Imhof's method, Davies's algorithm, Farebrother's algorithm or Liu et al.'s algorithm.
This package does local optimization using two derivatives and trust regions. Guaranteed to converge to local minimum of objective function.
This package implements synchronization between R processes (spawned by using the parallel package for instance) using file locks. It supports both exclusive and shared locking.
This package provides the tools necessary to do non-standard evaluation (NSE) in R.
A workflow is an object that can bundle together your pre-processing, modeling, and post-processing requests. For example, if you have a recipe and parsnip model, these can be combined into a workflow. The advantages are:
You don’t have to keep track of separate objects in your workspace.
The recipe prepping and model fitting can be executed using a single call to
fit().If you have custom tuning parameter settings, these can be defined using a simpler interface when combined with
tune.In the future, workflows will be able to add post-processing operations, such as modifying the probability cutoff for two-class models.
This tool provides methods for aggregating ranked lists, especially lists of genes. It implements the Robust Rank Aggregation and other simple algorithms for the task. RRA method uses a probabilistic model for aggregation that is robust to noise and also facilitates the calculation of significance probabilities for all the elements in the final ranking.
This package provides tools to more conveniently perform tasks associated with add-on packages. pacman conveniently wraps library and package related functions and names them in an intuitive and consistent fashion. It seeks to combine functionality from lower level functions which can speed up workflow.
This package provides a command line parser inspired by Python's optparse library to be used with Rscript to write shebang scripts that accept short and long options.
Kernel factory is an ensemble method where each base classifier (random forest) is fit on the kernel matrix of a subset of the training data.