Implementation of discriminant analysis with network structures in predictors accommodated to do classification and prediction.

This package provides functions and data sets for the text Probability and Statistics with R.

Connects to the API of <https://pushshift.io/> to search for Reddit comments and submissions.

Fits complex parametric models using the method proposed by Cox and Kartsonaki (2012) without likelihoods.

Proposes an application for sequence prediction generalizing the similarity within the network of previous sequences.

Two-stage procedure compares hazard rate functions, which may or may not cross each other.

Fitting time-varying coefficient models for single and multi-equation regressions, using kernel smoothing techniques.

Generating functions for both optimal and ordinary difference sequences, and the difference-based estimation functions.

This package provides templates and functions to simplify the production and maintenance of curriculum vitae.

This package provides a weighted selection probability to locate rare variants associated with multiple phenotypes.

Serves for rendering MS Word documents with R inline code and inserting tables and plots.

Helpers for transforming XML content into number of tables while preserving parent to child relationships.

Affymetrix Affymetrix AG Array annotation data (chip ag) assembled using data from public repositories.

This package provides a package containing an environment representing the HGU133Plus2_Hs_Hspec.cdf file.

This package provide a method for doing gene set analysis based on multiple omics data.

This package provides functions for computing and displaying sample size information for gene expression arrays.

Inference of protein activity from gene expression data, including the VIPER and msVIPER algorithms.

This package provides flexible, quantitative, and integrative genomic visualizations for publication-quality multi-panel figures.

This package provides simple utility functions to read from and write to the system clipboards.

Constructs confidence intervals on the probability of success in a binomial experiment via several parameterizations

Assertive Expressive (AE) is an assertions library specifically designed for reuse by other test frameworks.

Translation of the MATLAB program Carb (Nathan and Mauz 2008 <DOI:10.1016/j.radmeas.2007.12.012>; Mauz and Hoffmann 2014) for dose rate modelling for carbonate-rich samples in the context of trapped charged dating (e.g., luminescence dating) applications.

This package implements the algorithms for solving sparse generalized eigenvalue problem by Tan, et. al. (2018). Sparse Generalized Eigenvalue Problem: Optimal Statistical Rates via Truncated Rayleigh Flow. To appear in Journal of the Royal Statistical Society: Series B. <arXiv:1604.08697>.

Included here are babel routines for identifying unusual ribosome protected fragment counts given mRNA counts.