This package finds optimal sets of genes that seperate samples into two or more classes.

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.

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.

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

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

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

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.

The Zarr specification defines a format for chunked, compressed, N-dimensional arrays. Its design allows efficient access to subsets of the stored array, and supports both local and cloud storage systems. Rarr aims to implement this specification in R with minimal reliance on external tools or libraries.

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>.

This package provides tools for large-scale identification and advanced visualization of sets of conserved noncoding elements.

This package implements an empirical Bayes approach for large-scale hypothesis testing and false discovery rate estimation.

This package provides tools to fit and compare Ornstein-Uhlenbeck models for evolution along a phylogenetic tree.

This package provides the means to plot ggplot2 graphs in the style of the XKCD web comic.

This is an R package for dimension reduction based on finite Gaussian mixture modeling of inverse regression.