This package provides an iteration of the DEoptim function. It performs global optimization by differential evolution.

This package provides a friendly, object oriented API for creating PowerPoint slide decks in R.

Parser generator for R using combinatory parsers. It is inspired by combinatory parsers developed in Haskell.

Truncated Newton function minimization with bounds constraints based on the Matlab'/'Octave codes of Stephen Nash.

Robust pairwise correlations based on estimates of scale, particularly on "FastQn" one-step M-estimate.

None.

Headers and some wrapper functions from the SeqAn C++ library for ease of usage in R.

Generate random user data from the Random User Generator API. For more information, see <https://randomuser.me/>.

Functionality to download stock prices, cryptocurrency data, and more from the Tiingo API <https://api.tiingo.com/>.

Recursive display of names and paths of all the items nested within sublists of a list object.

R implementation of SIDES-based subgroup search algorithms (Lipkovich et al. (2017) <doi:10.1002/sim.7064>).

This package provides fast machine learning algorithms including matrix factorization and divisive clustering for large sparse and dense matrices.

R shiny app to perform data analysis and visualization for the Fully Automated Senescence Test (FAST) workflow.

The package contains all the data sets related to the book written by the maintainer of the package.

"Spaced Words Projection (SWeeP)" is a method for representing biological sequences using vectors preserving inter-sequence comparability.

This package implements the QUBIC algorithm introduced by Li et al. for the qualitative biclustering with gene expression data.

The Rsolnp package implements a general non-linear augmented Lagrange multiplier method solver, a sequential quadratic programming (SQP) based solver).

Make it easy to use React in R with htmlwidget scaffolds, helper dependency functions, an embedded Babel transpiler', and examples.

This package produces population distribution of disease risk and statistical risk categories, and predicts risks for individuals with genotype information.

Implementation of robust sparse PCA using the ROSPCA algorithm of Hubert et al. (2016) <DOI:10.1080/00401706.2015.1093962>.

This package provides API to Melbourne pedestrian and weather data <https://data.melbourne.vic.gov.au> in tidy data form.

Estimation of the conditional covariance matrix using the RiskMetrics 2006 methodology of Zumbach (2007) <doi:10.2139/ssrn.1420185>.

The RCC_PCA criterion is a tool to determine the optimal number of components to retain in PCA;See Alshammri (2021).

This package provides R implementations of generalized survival models (GSMs), smooth accelerated failure time (AFT) models and Markov multi-state models.