This package implements simple Hamiltonian Monte Carlo routines in R for sampling from any desired target distribution which is continuous and smooth. See Neal (2017) <arXiv:1701.02434> for further details on Hamiltonian Monte Carlo. Automatic parameter selection is not supported.

This package provides an R implementation of Kolmogorov-Arnold Fourier Networks using the torch backend. The package supports regression, binary classification, multiclass classification, formula and matrix interfaces, mini-batch training, validation splits, early stopping, standardization, best-model restoration, and KAF-specific diagnostics.

Allows the user to access functionality in the CDK', a Java framework for cheminformatics. This allows the user to load molecules, evaluate fingerprints, calculate molecular descriptors and so on. In addition, the CDK API allows the user to view structures in 2D.

This package provides a wrapper for running the bundled Open-WBO Maximum Satisfiability (MaxSAT) solver (<https://github.com/sat-group/open-wbo>). Users can pass command-line arguments to the solver and capture its output as a character string or file.

This package provides functions in this package will import filtered variant call format (VCF) files of SNPs data and generate data sets to detect copy number variants, visualize them and do downstream analyses with copy number variants(e.g. Environmental association analyses).

This package provides a lightweight toolkit for extracting structured information from URLs. Includes functions for parsing, normalizing protocols, extracting domains, and constructing clean URLs. The package includes a processed copy of the Public Suffix List from <https://publicsuffix.org> for domain extraction.

This package provides a simple interface to and data from the Human Protein Atlas project.

This package provides tools for the analysis and visualization of bilateral asymmetry in parasitic infections.

This package provides tools to fit and compare Gaussian linear and nonlinear mixed-effects models.

The package is designed to detect marker genes from Microarray gene expression data sets.

This package can optimize the parameter in S-system models given time series data.

Estimating the average causal effect based on the Bayesian Adjustment for Confounding (BAC) algorithm.

Compute multivariate location, scale, and correlation estimates based on Tukey's biweight M-estimator.

Capture code evaluations and script executions by expressions, outputs, and condition calls for logging.

Rudimentary functions for sampling and calculating density from the matrix-variate variance-gamma distribution.

Data sets for the Panel Data Econometrics with R <doi:10.1002/9781119504641> book.

ML and GM estimation and diagnostic testing of econometric models for spatial panel data.

Make it easy to use vue in R with helper dependency functions and examples.

Graphics for statistics on a sphere, as applied to geological fault data, crystallography, earthquake focal mechanisms, radiation patterns, ternary plots and geographical/geological maps. Non-double couple plotting of focal spheres and source type maps are included for statistical analysis of moment tensors.

An R-shiny application to visualize bio-loggers time series at a microsecond precision as Acceleration, Temperature, Pressure, Light intensity. It is possible to link behavioral labels extracted from BORIS software <http://www.boris.unito.it> or manually written in a csv file.

Empirical best linear unbiased prediction (EBLUP) and robust prediction of the area-level means under the basic unit-level model. The model can be fitted by maximum likelihood or a (robust) M-estimator. Mean square prediction error is computed by a parametric bootstrap.

This package provides a novel sufficient-dimension reduction method is robust against outliers using alpha-distance covariance and manifold-learning in dimensionality reduction problems. Please refer Hsin-Hsiung Huang, Feng Yu & Teng Zhang (2024) <doi:10.1080/10485252.2024.2313137> for the details.

This package provides a simple implementation of Binary Indexed Tree by R. The BinaryIndexedTree class supports construction of Binary Indexed Tree from a vector, update of a value in the vector and query for the sum of a interval of the vector.

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.