Bayesian Kernel Machine Regression

Implementation of a statistical approach for estimating the joint health effects of multiple concurrent exposures, as described in Bobb et al (2015) .

Create Compact Hash Digests of R Objects

Implementation of a function 'digest()' for the creation of hash digests of arbitrary R objects (using the 'md5', 'sha-1', 'sha-256', 'crc32', 'xxhash', 'murmurhash', 'spookyhash', 'blake3', 'crc32c', 'xxh3_64', and 'xxh3_128' algorithms) permitting easy comparison of R language objects, as well as functions such as 'hmac()' to create hash-based message authentication code. Please note that this package is not meant to be deployed for cryptographic purposes for which more comprehensive (and widely tested) libraries such as 'OpenSSL' should be used.

Exploratory Chemometrics for Spectroscopy

A collection of functions for top-down exploratory data analysis of spectral data including nuclear magnetic resonance (NMR), infrared (IR), Raman, X-ray fluorescence (XRF) and other similar types of spectroscopy. Includes functions for plotting and inspecting spectra, peak alignment, hierarchical cluster analysis (HCA), principal components analysis (PCA) and model-based clustering. Robust methods appropriate for this type of high-dimensional data are available. ChemoSpec is designed for structured experiments, such as metabolomics investigations, where the samples fall into treatment and control groups. Graphical output is formatted consistently for publication quality plots. ChemoSpec is intended to be very user friendly and to help you get usable results quickly. A vignette covering typical operations is available.

Convert Strings to Elder Futhark Runes

Convert a string of text characters to Elder Futhark Runes < https://en.wikipedia.org/wiki/Elder_Futhark>.

The Matrix-Normal Inverse-Wishart Distribution

Density evaluation and random number generation for the Matrix-Normal Inverse-Wishart (MNIW) distribution, as well as the the Matrix-Normal, Matrix-T, Wishart, and Inverse-Wishart distributions. Core calculations are implemented in a portable (header-only) C++ library, with matrix manipulations using the 'Eigen' library for linear algebra. Also provided is a Gibbs sampler for Bayesian inference on a random-effects model with multivariate normal observations.

Interpreted String Literals

An implementation of interpreted string literals. Based on the 'glue' package by Hester & Bryan (2024) but with a focus on efficiency and simplicity at a cost of flexibility.

A Suite of Convergence Acceleration Schemes for EM, MM and Other Fixed-Point Algorithms

Algorithms for accelerating the convergence of slow, monotone sequences from smooth, contraction mapping such as the EM and MM algorithms. It can be used to accelerate any smooth, linearly convergent acceleration scheme. A tutorial style introduction to this package is available in a vignette on the CRAN download page or, when the package is loaded in an R session, with vignette("turboEM").

'BLAS' and 'LAPACK' Routines for Native R Matrices and 'big.matrix' Objects

Provides arithmetic functions for R matrix and 'big.matrix' objects as well as functions for QR factorization, Cholesky factorization, General eigenvalue, and Singular value decomposition (SVD). A method matrix multiplication and an arithmetic method -for matrix addition, matrix difference- allows for mixed type operation -a matrix class object and a big.matrix class object- and pure type operation for two big.matrix class objects.

Functions Supporting Packages ChemoSpec and ChemoSpec2D

Functions supporting the common needs of packages 'ChemoSpec' and 'ChemoSpec2D'.

An Implementation of the 'DoubleClick for Publishers' API

Functions to interact with the 'Google DoubleClick for Publishers (DFP)' API < https://developers.google.com/ad-manager/api/start> (recently renamed to 'Google Ad Manager'). This package is automatically compiled from the API WSDL (Web Service Description Language) files to dictate how the API is structured. Theoretically, all API actions are possible using this package; however, care must be taken to format the inputs correctly and parse the outputs correctly. Please see the 'Google Ad Manager' API reference < https://developers.google.com/ad-manager/api/rel_notes> and this package's website < https://stevenmmortimer.github.io/rdfp/> for more information, documentation, and examples.