This package provides functions and Datasets from Lohr, S. (1999), Sampling: Design and Analysis, Duxbury.

The sparse principal component regression is computed. The regularization parameters are optimized by cross-validation.

Statistical interpretation of forensic glass transfer (Simulation of the probability distribution of recovered glass fragments).

This package implements Python-style zip for R. Is a more flexible version of cbind.

NChannelSet for rat hepatocytes treated with Carbon Tetrachloride (CCl4) data from LGC company.

This package finds optimal sets of genes that seperate samples into two or more classes.

Modified quantile normalization for omics or other matrix-like data distorted in location and scale.

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

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

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

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).

Allows the user to access functionality in the CDK', a Java framework for chemoinformatics. 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 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 installs and interfaces the naive Bayesian classifier for 16S rRNA sequences developed by the Ribosomal Database Project (RDP). With this package the classifier trained with the standard training set can be used or a custom classifier can be trained.

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.

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.

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.

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.

Implements an efficient multi-locus mixed-model approach for genome-wide association studies in structured populations.

Data sets used in Cayuela and De la Cruz (2022, ISBN:978-84-8476-833-3).

An R interface to the Stark-Parker implementation of an algorithm for bounded-variable least squares.

Model building, surrogate model based optimization and Efficient Global Optimization in combinatorial or mixed search spaces.

This package provides a wrapper for the EZC3D library to work with C3D motion capture data.

Manage your source code dependencies by decorating your existing R code with special, roxygen'-style comments.