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

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

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.

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 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.

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.

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

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

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

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++.

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

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

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.

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>.

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.

Rbec is a adapted version of DADA2 for analyzing amplicon sequencing data from synthetic communities (SynComs), where the reference sequences for each strain exists. Rbec can not only accurately profile the microbial compositions in SynComs, but also predict the contaminants in SynCom samples.

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>.