This package provides a ggplot2 theme and colour palettes to create accessible data visualisations in the Scottish Government.

This package provides tools for scraping information from webpages and other XML contents, using XPath or CSS selectors.

Dataset contains select attributes for each match result since 1949-1950 season for UNC men's basketball team.

Fast flattening of hierarchical data structures (e.g. JSON, XML) into data.frames with a flexible spec language.

This package provides a Stata-style `webuse()` function for importing named datasets from Stata's online collection.

Detect and remove chimeras from your amplicon sequence analysis using reference-based or de novo approaches. The rchime package implements the VSEARCH algorithms described in Rognes et al. (2016) <doi:10.7717/peerj.2584>. VSEARCH builds on the work of Edgar,R.C. et al. (2011) <doi:10.1093/bioinformatics/btr381>.

This package provides a collection of methods for quantifying representational similarity between learned features or multivariate data. The package offers an efficient C++ backend, designed for applications in machine learning, computational neuroscience, and multivariate statistics. See Klabunde et al. (2025) <doi:10.1145/3728458> for a comprehensive overview of the topic.

Prediction of claim counts using the feature based development factors introduced in the manuscript Hiabu M., Hofman E. and Pittarello G. (2023) <doi:10.48550/arXiv.2312.14549>. Implementation of Neural Networks, Extreme Gradient Boosting, and Cox model with splines to optimise the partial log-likelihood of proportional hazard models.

The goal of rlowdb is to provide a lightweight, file-based JSON database. Inspired by LowDB in JavaScript', it generates an intuitive interface for storing, retrieving, updating, and querying structured data without requiring a full-fledged database system. Ideal for prototyping, small-scale applications, and lightweight data management needs.

R/GSEPD is a bioinformatics package for R to help disambiguate transcriptome samples (a matrix of RNA-Seq counts at transcript IDs) by automating differential expression (with DESeq2), then gene set enrichment (with GOSeq), and finally a N-dimensional projection to quantify in which ways each sample is like either treatment group.

Allows calculation of rarity weights for species and indices of rarity for assemblages of species according to different methods (Leroy et al. 2012, Insect. Conserv. Divers. 5:159-168 <doi:10.1111/j.1752-4598.2011.00148.x>; Leroy et al. 2013, Divers. Distrib. 19:794-803 <doi:10.1111/ddi.12040>).

For the calculation of sample size or power in a two-group repeated measures design, accounting for attrition and accommodating a variety of correlation structures for the repeated measures; details of the method can be found in the scientific paper: Donald Hedeker, Robert D. Gibbons, Christine Waternaux (1999) <doi:10.3102/10769986024001070>.

This package provides functions for assessing the replication/preservation of a network module's topology across datasets through permutation testing.

This package enables you to define a command-line interface by just giving it a description in the specific format.

This package provides a simple client package for the Amazon Web Services (AWS) Simple Storage Service (S3) REST API.

This package provides functions to identify genomic regions of interests based on segmented copy number data from multiple samples.

This package provide simulation based methods for evaluating the statistical power in differential expression analysis from RNA-seq data.

Dynamic regression for time series using Extreme Gradient Boosting with hyper-parameter tuning via Bayesian Optimization or Random Search.

Collection of functions, data sets and code examples for evaluations of field trials with the objective of equivalence assessment.

Encrypts and decrypts strings using either the Caesar cipher or a pseudorandom number generation (using set.seed()) method.

Visualizes results of item analysis such as item difficulty, item discrimination, and coefficient alpha for ease of result communication.

Variance estimation on indicators of income concentration and poverty using complex sample survey designs. Wrapper around the survey package.

Basic routines used in scientific coding, such as timing routines, vector/array handing functions and I/O support routines.

This package provides a system for the management, assessment, and psychometric analysis of data from educational and psychological tests.