This package provides a small set of helper functions to convert sjPlot HTML-tables to R data.frame objects / knitr::kable-tables.

This package implements spatial error estimation and permutation-based variable importance measures for predictive models using spatial cross-validation and spatial block bootstrap.

Authenticates against Community Solid Server identity providers using OAuth client credentials with DPoP proofs and performs authenticated requests against Solid resources.

Calculates several thermal comfort indexes using temperature, wind speed and relative humidity values, calculating indexes such as Humidex, windchill, Discomfort Index and others.

This package provides a machine learning package for automatic text classification that makes it simple for novice users to get started with machine learning, while allowing experienced users to easily experiment with different settings and algorithm combinations. The package includes eight algorithms for ensemble classification (svm, slda, boosting, bagging, random forests, glmnet, decision trees, neural networks), comprehensive analytics, and thorough documentation.

Finds the k nearest neighbours for every point in a given dataset using Jose Luis nanoflann library. There is support for exact searches, fixed radius searches with kd trees and two distances, the Euclidean and Manhattan'. For more information see <https://github.com/jlblancoc/nanoflann>. Also, the nanoflann library is exported and ready to be used via the linking to mechanism.

This package provides tools to harmonize bulk RNA-seq matrices, optionally apply batch correction, and train cross-validated classification models using ranger, glmnet, or xgboost. Supports leakage-safe feature selection, permutation importance, SHAP-based interpretability, and calibration methods (Platt or isotonic). Provides stability metrics across folds, embeddings (PCA/UMAP), ROC visualization, SHAP dependence plots, and tidy ranked-gene tables for downstream analysis.

Anglemania extracts genes from multi-batch scRNA-seq experiments for downstream dataset integration. It improves conventional usage of highly-variable genes for integration tasks.

This package provides some utility functions for validation and data manipulation. These functions can be helpful to reduce internal codes everywhere in package development.

This package contains an implementation of RFC 2388, which is used to process form data posted with HTTP POST method using enctype "multipart/form-data".

Daemons provides a way to wrap existing Ruby scripts to be run as a daemon and to be controlled by simple start/stop/restart commands.

This package provides curated gene target databases derived from ChIP-seq datasets, formatted as ChIPDB objects for use with TFEA.ChIP.

Extracts colors from various image types, returns customized reports and plots treemaps and 3D scatterplots of image compositions. Color palettes can also be created.

This package performs mean shift classification using linear and k-d tree based nearest neighbor implementations for the Gaussian, Epanechnikov, and biweight product kernels.

Uses recursive partitioning to create homogeneous subgroups based on structural equation models fit in Mplus', a stand-alone program developed by Muthen and Muthen.

This package provides standardized access to a range of re-scaling methods for numerical vectors and time-series features calculated within the theft ecosystem.

This package implements a simple, novel clustering algorithm based on optimizing the silhouette width. See <doi:10.1101/2023.11.07.566055> for details.

Transform a Movie into a Synthetic Picture. A frame every 10 seconds is summarized into one colour, then every generated colors are stacked together.

Several functions and S3 methods to construct a super learner in the presence of censored times-to-event and to evaluate its prognostic capacities.

Calculates trait moments from trait and community data using the methods developed in Maitner et al (2021) <doi:10.22541/au.162196147.76797968/v1>.

Compile snippets of LaTeX directly into images from the R console to view in the RStudio viewer pane, Shiny apps and RMarkdown documents.

This package provides a lightweight way in Python to import and export R datasets/objects stored in the .rda and .rds formats.

This package provides R-squared values and standardized regression coefficients for linear models applied to multiply imputed datasets as obtained by mice'. Confidence intervals, zero-order correlations, and alternative adjusted R-squared estimates are also available. The methods are described in Van Ginkel and Karch (2024) <doi:10.1111/bmsp.12344> and in Van Ginkel (2020) <doi:10.1007/s11336-020-09696-4>.

Supports concordances in R Markdown documents. This currently allows the original source location in the .Rmd file of errors detected by HTML tidy to be found more easily, and potentially allows forward and reverse search in HTML and LaTeX documents produced from R Markdown'. The LaTeX support has been included in the most recent development version of the patchDVI package.