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.

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.

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.

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>.

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>).

This package provides a programmatic interface to the web service methods provided by Global Biotic Interactions (GloBI) (<https://www.globalbioticinteractions.org/>). GloBI provides access to spatial-temporal species interaction records from sources all over the world. rglobi provides methods to search species interactions by location, interaction type, and taxonomic name.

Record your test suite's HTTP interactions and replay them during future test runs for fast, deterministic, accurate tests.

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

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

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

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.

The main functions carry out Gibbs sampler routines for nonparametric and semiparametric Bayesian models for random effects meta-analysis.

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.

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

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

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

This package provides a dibble that implements data cubes (derived from dimensional tibble'), and allows broadcasting by dimensional names.

Example datasets from the book "An Introduction to Generalised Linear Models" (Year: 2018, ISBN:9781138741515) by Dobson and Barnett.

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

Utilities for building certain kinds of common matrices and models in the extended structural equation modeling package, OpenMx'.

An implementation of Gini-based weighting approaches in constructing composite indicators, providing functionalities for normalization, aggregation, and ranking comparison.