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.

An R interface to KEA (Version 5.0). KEA (for Keyphrase Extraction Algorithm) allows for extracting keyphrases from text documents. It can be either used for free indexing or for indexing with a controlled vocabulary. For more information see <http://www.nzdl.org/Kea/>.

This package provides a Tool for Semi-Automating the Statistical Disclosure Control of Research Outputs.

Parameter estimation, one-step ahead forecast and new location prediction methods for spatio-temporal data.

Generates visualizations with Dukeâ s official suite of colors in a color blind friendly way.

This package provides functions for visualizing, modeling, forecasting and hypothesis testing of functional time series.

This package provides functions and a graphical user interface for graphical described multiple test procedures.

This package implements likelihood inference based on higher order approximations for linear nonnormal regression models.

This package provides a variety of functions useful for data analysis, selection, manipulation, and graphics.

Miscellaneous functions and wrappers for development in other packages created, maintained by Jordan Mark Barbone.

Inference and visualize gene regulatory network based on single-cell RNA sequencing pseudo-time information.

An implementation of the pediatric complex chronic conditions (CCC) classification system using R and C++.

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.

This package provides tools for clustering and principal component analysis (with robust methods, and parallelized functions).

This is a package providing tools for weighted k-Nearest neighbors for classification, regression and clustering.

This package provides a comprehensive collection of color palettes, color maps, and tools to evaluate them.

Rakudo is a compiler that implements the Raku specification and runs on top of several virtual machines.

Selects one model with variable selection FDR controlled at a specified level. A q-value for each potential variable is also returned. The input, variable selection counts over many bootstraps for several levels of penalization, is modeled as coming from a beta-binomial mixture distribution.

Conduct simulations of the Response Adaptive Block Randomization (RABR) design to evaluate its type I error rate, power and operating characteristics for binary and continuous endpoints. For more details of the proposed method, please refer to Zhan et al. (2021) <doi:10.1002/sim.9104>.

Assists in the manipulation and processing of linear features with the help of the sf package. Makes use of linear referencing to extract data from most shape files. Reference for this packages methods: Albeke, S.E. et al. (2010) <doi:10.1007/s10980-010-9528-4>.

Resolve the dependency graph of R packages at a specific time point based on the information from various R-hub web services <https://blog.r-hub.io/>. The dependency graph can then be used to reconstruct the R computational environment with Rocker <https://rocker-project.org>.