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keywords: package
title: An implementation of the Artificial Bee Colony (ABC) Algorithm
description: This is an implementation of Karaboga (2005) ABC optimization algorithm. It was developed upon the basic version programmed in C and distributed at the algorithm's official website (see the references).

keywords: package
title: Batch annotation of the peaks identified from either ChIP-seq or ChIP-chip experiments.
description: The package includes functions to retrieve the sequences around the peak, obtain enriched Gene Ontology (GO) terms, find the nearest gene, exon, miRNA or custom features such as most conserved elements and other transcription factor binding sites leveraging biomaRt, IRanges, Biostrings, BSgenome, GO.db, hypergeometric test phyper and multtest package.

keywords: package
title: Package Brewdata
description: Brewdata is a package built to lookup, parse, and analyze statistics and biostatistics graduate admissions data reported in the Grad Cafe Results Search.

keywords: package
title: A Bootstrap Test for the Probability of Ruin in the Compound Poisson Risk process
description: This package provides a bootstrap test for the probability of ruin in the classical (compound Poisson) risk process and some procedures for comparing the performance of the bootstrap test and the test using the asymptotic normal approximation.

keywords: package
title: Explore databases interactively using the R shell
description: db.r provides a way to interactively explore databases in R. It uses the Reference classes to create Python/Ruby/Javascript-esque objects in R that dynamically load database schemas, execute queries, and manage credentials.

keywords: package
title: CShapes Dataset and Utilities
description: R Package for CShapes, a GIS dataset of country boundaries (1946-2015). Includes functions for data extraction and the computation of weights matrices.

keywords: package
title: Asymptotic Covariance Matrices of Some BSS Mixing and Unmixing Matrix Estimates.
description: Description: Functions to compute the asymptotic covariance matrices of mixing and unmixing matrix estimates of the following blind source separation (BSS) methods: symmetric and squared symmetric FastICA, regular and adaptive deflation-based FastICA, FOBI, JADE, AMUSE and deflation-based and symmetric SOBI. Also functions to estimate these covariances based on data are available. For details, see Miettinen et al. (2015) <doi:10.1214/15-STS520>, Miettinen et al. (2016) <doi:10.1111/jtsa.12159>, Miettinen et al. (2017) <doi:10.1016/j.sigpro.2016.08.028>, Miettinen et al. (2017) <doi:10.18637/jss.v076.i02>, and references therein.

keywords: package
title: \Sexpr[results=rd,stage=build]{tools:::Rd_package_title("#1")}cumstatsCumulative Descriptive Statistics
description: \Sexpr[results=rd,stage=build]{tools:::Rd_package_description("#1")}cumstatsCumulative descriptive statistics for (arithmetic, geometric, harmonic) mean, median, mode, variance, skewness and kurtosis.