Create, install, and summarise data packages that follow the Open Knowledge Foundation's Data Package Protocol.
Automatic detection of hyperlinks for packages and calls in the text of rmarkdown or quarto documents.
Perform pairwise likelihood inference in latent autoregressive count models. See Pedeli and Varin (2020) for details.
Client for the Office of National Statistics ('ONS') API <https://api.beta.ons.gov.uk/v1>.
This package provides functions to easily convert data to binary formats other programs/machines can understand.
Empirical adjustment of the distribution of variables originating from (regional) climate model simulations using quantile mapping.
Run lapply() calls in parallel by submitting them to gridengine clusters using the qsub command.
This package performs the EM algorithm for regression models using Skew Scale Mixtures of Normal Distributions.
Datasets used in "Statistical Methods for the Social Sciences" (SMSS) by Alan Agresti and Barbara Finlay.
Explore synesthesia consistency test data, calculate consistency scores, and classify participant data as valid or invalid.
This package implements a method for identifying subgroups with superior response relative to the overall sample.
S3 classes and methods for manipulation with georeferenced raster data: reading/writing, processing, multi-panel visualization.
Functions, Classes & Methods for estimation, prediction, and simulation (bootstrap) of Variable Length Markov Chain ('VLMC') Models.
An extension for the xml2 package to transform XML documents by applying an xslt style-sheet.
Gene set analysis using specific alternative hypotheses. Tests for differential expression, scale and net correlation structure.
Data sets for the book Modern Statistics for Modern Biology', S.P. Holmes and W. Huber.
This is a package providing tools for weighted k-Nearest neighbors for classification, regression and clustering.
This package provides a comprehensive collection of color palettes, color maps, and tools to evaluate them.
This package provides tools for clustering and principal component analysis (with robust methods, and parallelized functions).
Rakudo is a compiler that implements the Raku specification and runs on top of several virtual machines.
Systematically transform immunoassay data, evaluate if the data is normally distributed, and pick the right method for cut point determination based on that evaluation. This package can also produce plots that are needed for reports, so data analysis and visualization can be done easily.
This package provides a collection of implementations of semi-supervised classifiers and methods to evaluate their performance. The package includes implementations of, among others, Implicitly Constrained Learning, Moment Constrained Learning, the Transductive SVM, Manifold regularization, Maximum Contrastive Pessimistic Likelihood estimation, S4VM and WellSVM.
This package provides a robust Partial Least-Squares (PLS) method is implemented that is robust to outliers in the residuals as well as to leverage points. A specific weighting scheme is applied which avoids iterations, and leads to a highly efficient robust PLS estimator.
An R interface to KEA (Version 5.0). KEA (for Keyphrase Extraction Algorithm) allows for extracting keyphrases from text documents. It can be either used for free indexing or for indexing with a controlled vocabulary. For more information see <http://www.nzdl.org/Kea/>.