DBI/RJDBC interface to h2 database. h2 version 2.3.232 is included.

The rpx package implements an interface to proteomics data submitted to the ProteomeXchange consortium.

The ROI is a framework for handling optimization problems in R.

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

Deprecated.

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

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

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

Bayesian Linear Regression.

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

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.

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.

Build experience life tables.

FLR algorithm for classification.

Periodic B Splines Basis.

Utilities for text analysis.

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

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

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

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

Adaptive Rejection Sampling, Original version.

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).