This package provides a safe Rust wrapper for ONNX Runtime 1.18 - Optimize and accelerate machine learning inference & training.

This package provides classes and methods for dense and sparse matrices and operations on them using LAPACK and SuiteSparse.

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

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.

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.

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

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.

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

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'.

Data sets and scripts used in the book Generalized Additive Models: An Introduction with R', Wood (2006,2017) CRC.

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

Streamlines downloading and cleaning biodiversity data from Integrated Digitized Biocollections (iDigBio) and the Global Biodiversity Information Facility (GBIF).

Fits a linear excess relative risk model by maximum likelihood, possibly including several variables and allowing for lagged exposures.

Fits sex-specific life-history models for fish and other taxa where some of the individuals have unknown sex.

This package provides functions for creating designs for mixture experiments, making ternary contour plots, and making mixture effect plots.

Define, manipulate and plot meshes on simplices, spheres, balls, rectangles and tubes. Directional and other multivariate histograms are provided.

We fit inverse probability weighting estimator and the augmented inverse probability weighting for non-monotone missing at random data.

This package implements a nonparametric statistical test for rank or score data from partially-balanced incomplete block-design experiments.

This package provides a non-parametric test for multi-observer concordance and differences between concordances in (un)balanced data.