This package provides tools for the estimation and simulation of latent variable models.

This package provides unit root and cointegration tests encountered in applied econometric analysis.

This package provides tools to normalize (several) Hi-C data from replicates.

Integrative copy number variation (CNV) detection from multiple platform and experimental design.

Use dynamic programming method to solve l1 convex clustering with identical weights.

Builds statistical control charts with exact limits for univariate and multivariate cases.

Calculate false ring proportions from data frames of intra annual density fluctuations.

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

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

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

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

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

Procrustes analyses to infer co-phylogenetic matching between pairs of phylogenetic trees.

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

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.

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.