This package provides an implementation of AES (Rijndael) block ciphers using AES-NI.

This package is deprecated and was replaced by the aes crate.

This package provides an implementation of AES (Rijndael) block ciphers using AES-NI.

This package is deprecated and was replaced by the aes crate.

This package provides an implementation of AES (Rijndael) block ciphers using AES-NI.

This package is deprecated and was replaced by the aes crate.

This package provides an implementation of AES (Rijndael) block ciphers using AES-NI.

This package is deprecated and was replaced by the aes crate.

This package makes it possible to define your own PhantomData and similarly behaved unit types with generic parameters, which is not permitted in ordinary Rust.

Collections of accessor functions and patterns to access the elements in compound type specifier, e.g. dimensions in (array element-type dimensions)

This package contains an implementation of RFC 2388, which is used to process form data posted with HTTP POST method using enctype "multipart/form-data".

This package provides a comprehensive interface for Google Gemini API, enabling users to access and utilize Gemini Large Language Model (LLM) functionalities directly from R. This package facilitates seamless integration with Google Gemini, allowing for advanced language processing, text generation, and other AI-driven capabilities within the R environment. For more information, please visit <https://ai.google.dev/docs/gemini_api_overview>.

This package provides a single method implementing multiple approaches to generate pseudo-random vectors whose components sum up to one (see, e.g., Maziero (2015) <doi:10.1007/s13538-015-0337-8>). The components of such vectors can for example be used for weighting objectives when reducing multi-objective optimisation problems to a single-objective problem in the socalled weighted sum scalarisation approach.

This package provides a lightweight toolkit to validate new observations when computing their predictions with a predictive model. The validation process consists of two steps: (1) record relevant statistics and meta data of the variables in the original training data for the predictive model and (2) use these data to run a set of basic validation tests on the new set of observations.

This is a simple package which provides a function that boosts pre-ready or custom-made classifiers. Package uses Discrete AdaBoost (<doi:10.1006/jcss.1997.1504>) and Real AdaBoost (<doi:10.1214/aos/1016218223>) for two class, SAMME (<doi:10.4310/SII.2009.v2.n3.a8>) and SAMME.R (<doi:10.4310/SII.2009.v2.n3.a8>) for multiclass classification.

This package provides useful tools which supplement the use of Simulx software and R connectors ('Monolix Suite'). Simulx is an easy, efficient and flexible application for clinical trial simulations. You need Simulx software to be installed in order to use RsSimulx package. Among others tasks, RsSimulx provides the same functions as package mlxR does with a compatibility with Simulx software.

This package provides Universal hash over GF(2^128) useful for constructing a Message Authentication Code (MAC), as in the AES-GCM authenticated encryption cipher.

rpi-imager is graphical utility to easily provision and flash a memory card with an operating system image suitable for the Raspberry Pi single board computer.

R and C++ functions to perform exact and approximate optimal transport. All C++ methods can be linked to other R packages via their header files.

Datasets and functions for the book "Initiation à la Statistique avec R", F. Bertrand and M. Maumy-Bertrand (2022, ISBN:978-2100782826 Dunod, fourth edition).

Accelerate the process from clinical data to medical publication, including clinical data cleaning, significant result screening, and the generation of publish-ready tables and figures.

Quantify variability (such as confidence interval) of fertilizer response curves and optimum fertilizer rates using bootstrapping residuals with several popular non-linear and linear models.

This package provides a replacement for dplyr::na_if(). Allows you to specify multiple values to be replaced with NA using a single function.

This package provides a full set of fast data manipulation tools with a tidy front-end and a fast back-end using collapse and cheapr'.

This package provides a simple way to interact with and extract data from the official Google Knowledge Graph API <https://developers.google.com/knowledge-graph/>.

Estimation of partial correlation matrix using ridge penalty followed by thresholding and reestimation. Under multivariate Gaussian assumption, the matrix constitutes an Gaussian graphical model (GGM).

An almost direct port of the python humanize package <https://github.com/jmoiron/humanize>. This package contains utilities to convert values into human readable forms.

This package contains data sets to accompany the book: Lazic SE (2016). "Experimental Design for Laboratory Biologists: Maximising Information and Improving Reproducibility". Cambridge University Press.