This package provides a dependency management toolkit for R. Using renv, you can create and manage project-local R libraries, save the state of these libraries to a lockfile, and later restore your library as required. Together, these tools can help make your projects more isolated, portable, and reproducible.
Utilities to access Integrated Food Security Phase Classification (IPC) and Cadre Harmonisé (CH) food security data. Wrapper functions are available for all of the IPC-CH Public API (<https://docs.api.ipcinfo.org>) simplified and advanced endpoints to easily download the data in a clean and tidy format.
Plots the Receiver Operating Characteristics Surface for high-throughput class-skewed data, calculates the Volume under the Surface (VUS) and the FDR-Controlled Area Under the Curve (FCAUC), and conducts tests to compare two ROC surfaces. Computes eROC curve and the corresponding AUC for imperfect reference standard.
An interface to the Open Tree of Life API to retrieve phylogenetic trees, information about studies used to assemble the synthetic tree, and utilities to match taxonomic names to Open Tree identifiers'. The Open Tree of Life aims at assembling a comprehensive phylogenetic tree for all named species.
This package provides tools to parse Illumina Sequence Analysis Viewer (SAV) files, access data, and generate QC plots.
This is a package for significance analysis of Microarrays for differential expression analysis, RNAseq data and related problems.
Remake is an enhanced version of GNU Make that adds improved error reporting, better tracing, profiling, and a debugger.
Classification using generalized partial least squares for two-group and multi-group (more than 2 group) classification.
From a given data frame, this package learns its Bayesian network structure based on a selected score.
Fast Bayesian estimation and forecasting of age-specific rates, probabilities, and means, based on Template Model Builder'.
Exploratory principal component analysis for large-scale dataset, including sparse principal component analysis and sparse matrix approximation.
Structural handling of Finnish identity codes (natural persons and organizations); extract information, check ID validity and diagnostics.
This package provides a set of functions that allow stationary analysis and locally stationary time series analysis.
Allows you to easily execute expensive compute operations only once, and save the resulting object to disk.
Allows objects to be stored on disc and automatically recalled into memory, as required, by delayed assignment.
Data sets and code blocks for the book Statistical Analysis of Network Data with R, 2nd Edition'.
This package provides rolling statistical functions based on date and time windows instead of n-lagged observations.
XML package for creating and reading and manipulating XML', with an object model based on Reference Classes'.
Provide R functions to read/write/format Excel 2007 and Excel 97/2000/XP/2003 file formats.
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.
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.
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 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>.
This package provides functions for testing affine hypotheses on the regression coefficient vector in regression models with autocorrelated errors.