Improve the usage of model fitting functions within a piped work flow.
This package provides tools to normalize (several) Hi-C data from replicates.
Integrative copy number variation (CNV) detection from multiple platform and experimental design.
The package is designed to detect marker genes from RNA-seq data.
This package provides graphical user interfaces to organize and visualize Nanopore sequencing data.
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.
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.
Data sets for book "Basic Statistics and Data Analysis" by Larry J. Kitchens.
Design dose escalation using Bayesian logistic regression modeling in Phase I oncology trial.
This package implements higher order likelihood-based inference for logistic and loglinear models.
Deriving skill structures from skill assignment data for courses (sets of learning objects).
This package provides functions and Data to support Context Driven Exploratory Projection Pursuit.
This package provides functions and datasets from the book "Forest Analytics with R".
Statistical functions to fit, validate and describe a Generalized Waring Regression Model (GWRM).
This package provides functions for the fitting and summarizing of heteroscedastic t-regression.
Hierarchical and single-level non-negative matrix factorization. Several NMF algorithms are available.
This package provides a fast (C) implementation of the iterative proportional fitting procedure.