This package provides utilities for Receiver Operating Characteristic (ROC) curves, with a focus on micro arrays.

This package provides tools for shrunken centroids regularized discriminant analysis for the purpose of classifying high dimensional data.

Bayesian Linear Regression.

Finds a robust instrumental variables estimator using a high breakdown point S-estimator of multivariate location and scatter matrix.

This holds some r markdown and quarto templates and a template to create a research project in "R Studio".

Use A Resampling-Based Empirical Bayes Approach to Assess Differential Expression in Two-Color Microarrays and RNA-Seq data sets.

Build experience life tables.

FLR algorithm for classification.

Periodic B Splines Basis.

Utilities for text analysis.

Automatically apply different strategies to optimize R code. rco functions take R code as input, and returns R code as output.

Flexible statistical modelling using a modular framework for regression, in which groups of transformations are composed together and act on probability distributions.

Reads in continuous glucose monitor data of many different formats, calculates a host of glycemic variability metrics, and plots glucose over time.

The evaluation criteria of rangeland health, condition and landscape function analysis based on species diversity and functional diversity of rangeland plant communities.

Download and parse public files released by B3 and convert them into useful formats and data structures common to data analysis practitioners.

Adaptive Rejection Sampling, Original version.

This package contains inferential and graphical routines for comparing two treatment arms in terms of the restricted mean time in favor of treatment.

Relational Class Analysis (RCA) is a method for detecting heterogeneity in attitudinal data (as described in Goldberg A., 2011, Am. J. Soc, 116(5)).

Calculate generalized R-squared, partial R-squared, and partial correlation coefficients for generalized linear (mixed) models (including quasi models with well defined variance functions).

Fits and tests logistic joinpoint models.

This package provides functions to implement the parametric and non-parametric bootstrap confidence interval methods described in Morrison and Simon (2017) <arXiv:1702.06986>.

This framework aims to provide classes and methods for manipulating and processing of raster time series data (e.g. a time series of satellite images).

This package provides common base and stats methods for rle objects, aiming to make it possible to treat them transparently as vectors.

Upload R data.frame to Arm Treasure Data, see <https://www.treasuredata.com/>. You can execute database or table handling for resources on Arm Treasure Data.