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.

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

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

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

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

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.

This package provides graphical user interfaces to organize and visualize Nanopore sequencing data.

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

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

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>.

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.

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.

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.

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>.

Computationally efficient procedures for regularized estimation with the semiparametric additive hazards regression model.

Design dose escalation using Bayesian logistic regression modeling in Phase I oncology trial.

Data sets for book "Basic Statistics and Data Analysis" by Larry J. Kitchens.