This package provides convenience functions for data preparation and modeling often used in analytical customer relationship management (aCRM).
This package provides a parallel backend for the %dopar%
function using the multicore functionality of the parallel package.
This package implements various tests, visualizations, and metrics for diagnosing convergence of MCMC chains in phylogenetics. It implements and automates many of the functions of the AWTY package in the R environment, as well as a host of other functions. Warren, Geneva, and Lanfear (2017), <doi:10.1093/molbev/msw279>.
Data with irregular spatial support, such as runoff related data or data from administrative units, can with rtop be interpolated to locations without observations with the top-kriging method. A description of the package is given by Skøien et al (2014) <doi:10.1016/j.cageo.2014.02.009>.
This package converts back and forth between two representations of a convex polytope: as solution of a set of linear equalities and inequalities and as convex hull of set of points and rays. Also does linear programming and redundant generator elimination. All functions can use exact infinite-precision rational arithmetic.
Quickly imports, processes, analyzes, and visualizes mass-spectrometric data. Includes functions for easily extracting specific data and measurements from large (multi-gigabyte) raw Bruker data files, as well as a set of S3 object classes for manipulating and measuring mass spectrometric peaks and plotting peaks and spectra using the ggplot2 package.
This package provides methods and tools for Singular Spectrum Analysis including decomposition, forecasting and gap-filling for univariate and multivariate time series. General description of the methods with many examples can be found in the book Golyandina (2018, <doi:10.1007/978-3-662-57380-8>). See citation("Rssa") for details.
This package allows you to render vector-based SVG images into high-quality custom-size bitmap arrays using the librsvg2 library. The resulting bitmap can be written to e.g. PNG, JPEG or WEBP format. In addition, the package can convert images directly to various formats such as PDF or PostScript.
An exact and a variational inference for coupled Hidden Markov Models applied to the joint detection of copy number variations.
Use the spatial association marginal contributions derived from spatial stratified heterogeneity to capture the degree of correlation between spatial patterns.
The DALY Calculator is a free, open-source Graphical User Interface (GUI) for stochastic disability-adjusted life year (DALY) calculation.
Perform frequency distribution tables, associated histograms and polygons from vector, data.frame and matrix objects for numerical and categorical variables.
This package provides algorithms for detection of spatial patterns from oceanographic data using image processing methods based on Gradient Recognition.
We provide the collection of data-sets used in the book An Introduction to Statistical Learning with Applications in R'.
This package provides a LaTeX
Letter class for rmarkdown', using the pandoc-letter template adapted for use with markdown'.
Computes Control limits, coefficients of control limits, various performance metrics and depicts control charts for monitoring Maxwell-distributed quality characteristics.
This package provides a toolbox for modeling manifest and latent group differences and moderation effects in various statistical network models.
Is designed to make easier printing summary statistics (for continues and factor level) tables in Latex, and plotting by factor.
Reverse depends for a given package are queued such that multiple workers can run the reverse-dependency tests in parallel.
This package provides a set of functions to implement Time Series Cointegrated System (TSCS) spatial interpolation and relevant data visualization.
Declarative template-based framework for verifying that objects meet structural requirements, and auto-composing error messages when they do not.
Position adjustments for ggplot2 to implement "visualize as you randomize" principles, which can be especially useful when plotting experimental data.
Package for modified nearest-neighbor classification based on calculation of a similarity threshold distinguishing within-group from between-group comparisons.
The tool integrates data from biological networks with transcriptomes, displaying a heatmap with surface curves to evidence the altered regions.