This package provides arrays with flexible control over dimension dropping when subscripting.

To find the certainty of dominance interactions with indirect interactions being considered.

Set of functions for analysis of Principal Coordinates of Phylogenetic Structure (PCPS).

Patient Rule Induction Method (PRIM) for bump hunting in high-dimensional data.

This package provides a simple implementation of the Predictive Information Index ('PII').

Fits penalized generalized estimating equations to longitudinal data with high-dimensional covariates.

Densitometric evaluation of the photo-archived quantitative thin-layer chromatography (TLC) plates.

This package performs structured OLS (sOLS) and structured SIR (sSIR).

Improve the usage of model fitting functions within a piped work flow.

Anti-Grain Geometry (AGG) is a high-quality and high-performance 2D drawing library. The ragg package provides a set of graphic devices based on AGG to use as alternative to the raster devices provided through the grDevices package.

Download, inspect, reconcile, and summarize mammal taxonomic names with the Mammal Diversity Database (MDD). Supports accepted names, synonyms, original combinations, distribution summaries, and mapped outputs derived from packaged MDD releases. Designed for reproducible mammal name resolution workflows in R'.

Regularized calibrated estimation for causal inference and missing-data problems with high-dimensional data, based on Tan (2020a) <doi:10.1093/biomet/asz059>, Tan (2020b) <doi:10.1214/19-AOS1824> and Sun and Tan (2020) <arXiv:2009.09286>.

Multiscale Curvature Classification of ground returns in 3-D LiDAR point clouds, designed for forested environments. RMCC is a porting to R of the MCC-lidar method by Evans and Hudak (2007) <doi:10.1109/TGRS.2006.890412>.

Helper functions to accompany the Blair, Coppock, and Humphreys (2022) "Research Design in the Social Sciences: Declaration, Diagnosis, and Redesign" <https://book.declaredesign.org>. rdss includes datasets, helper functions, and plotting components to enable use and replication of the book.

Robust likelihood cross validation bandwidth for uni- and multi-variate kernel densities. It is robust against fat-tailed distributions and/or outliers. Based on "Robust Likelihood Cross-Validation for Kernel Density Estimation," Wu (2019) <doi:10.1080/07350015.2018.1424633>.

Offers functions for fetching JSON data from the US EPA Air Quality System (AQS) API with options to comply with the API rate limits. See <https://aqs.epa.gov/aqsweb/documents/data_api.html> for details of the AQS API.

Utilities for reading, writing, and managing RCDF files, including encryption and decryption support. It offers a flexible interface for handling data stored in encrypted Parquet format, along with metadata extraction, key management, and secure operations using AES and RSA encryptions.

This package provides methods and models for handling zero-inflated single cell assay data.

This tool detects batch effects in high-dimensional data based on chi^2-test.

This package provides miscellaneous functions commonly used in other packages maintained by Yihui Xie.

This package provides tools to create Class Cover Catch Digraphs, neighborhood graphs, and relatives.

This package provides building blocks for the design and analysis of multiobjective optimization algorithms.

This package provides tools for generating and handling of Universally Unique Identifiers (UUIDs).

This package provides qualitatively constrained (regression) smoothing splines via linear programming and sparse matrices.