This package provides a simple and easy-to-use logging facility for Rust's log crate

This is a function for validating microarray clusters via reproducibility, based on the paper referenced below.

Convert keys and other values to memorable phrases. Includes some methods to build lists of words.

This package provides a small collection of data on graduate statistics programs from the United States.

Shrinkage estimator for polygenic risk prediction models based on summary statistics of genome-wide association studies.

Simple definition of time intervals for the current, previous, and next week, month, quarter and year.

User-friendly maximum likelihood estimation (Fisher (1921) <doi:10.1098/rsta.1922.0009>) of univariate densities.

Utilities for verifying discrete, continuous and probabilistic forecasts, and forecasts expressed as parametric distributions are included.

This package provides Apache and IIS log analytics for transaction performance, client populations and workload definitions.

This package provides a package containing an environment representing the HT_MG-430_PM.cdf file.

Affymetrix Affymetrix Mouse430_2 Array annotation data (chip mouse4302) assembled using data from public repositories.

Norway981 http://genome-www5.stanford.edu/ Annotation Data (Norway981) assembled using data from public repositories.

Genome wide annotation for Xenopus, primarily based on mapping using Entrez Gene identifiers.

Genome wide annotation for Pig, primarily based on mapping using Entrez Gene identifiers.

Genome wide annotation for Canine, primarily based on mapping using Entrez Gene identifiers.

Genome wide annotation for Chimp, primarily based on mapping using Entrez Gene identifiers.

Genome wide annotation for Anopheles, primarily based on mapping using Entrez Gene identifiers.

Genome wide annotation for Chicken, primarily based on mapping using Entrez Gene identifiers.

This package provides a package containing an environment represeting the newcdf/tinesATH1.cdf.cdf file.

This package provides uniform interfaces to machine learning code for data in R and Bioconductor containers.

This package contains the Homo.sapiens object to access data from several related annotation packages.

This package models with sparse and dense matrix matrices, using modular prediction and response module classes.

Written in C++ using Rcpp, this package provides a collection of metrics for evaluating models.

This package contains traits which provide generic, object-safe APIs for generating and verifying digital signatures.