Packages by Henrik Bengtsson

ACNE — 0.8.1

Affymetrix SNP Probe-Summarization using Non-Negative Matrix Factorization

PSCBS — 0.65.0

Analysis of Parent-Specific DNA Copy Numbers

R.cache — 0.13.0

Fast and Light-Weight Caching (Memoization) of Objects and Results to Speed Up Computations

R.devices — 2.16.0

Unified Handling of Graphics Devices

R.filesets — 2.13.0

Easy Handling of and Access to Files Organized in Structured Directories

R.huge — 0.9.0

Methods for Accessing Huge Amounts of Data [deprecated]

R.matlab — 3.6.2

Read and Write MAT Files and Call MATLAB from Within R

R.methodsS3 — 1.7.1

S3 Methods Simplified

R.oo — 1.22.0

R Object-Oriented Programming with or without References

R.rsp — 0.43.1

Dynamic Generation of Scientific Reports

R.utils — 2.9.0

Various Programming Utilities

aroma.affymetrix — 3.1.1

Analysis of Large Affymetrix Microarray Data Sets

aroma.apd — 0.6.0

A Probe-Level Data File Format Used by 'aroma.affymetrix' [deprecated] — 1.6.1

Copy-Number Analysis of Large Microarray Data Sets

aroma.core — 3.1.3

Core Methods and Classes Used by 'aroma.*' Packages Part of the Aroma Framework

calmate — 0.12.1

Improved Allele-Specific Copy Number of SNP Microarrays for Downstream Segmentation

dChipIO — 0.1.5

Methods for Reading dChip Files

doFuture — 0.8.0

A Universal Foreach Parallel Adapter using the Future API of the 'future' Package

future — 1.13.0

Unified Parallel and Distributed Processing in R for Everyone

future.BatchJobs — 0.16.1

A Future API for Parallel and Distributed Processing using BatchJobs

future.apply — 1.2.0

Apply Function to Elements in Parallel using Futures

future.batchtools — 0.8.0

A Future API for Parallel and Distributed Processing using 'batchtools'

future.callr — 0.4.0

A Future API for Parallel Processing using 'callr'

globals — 0.12.4

Identify Global Objects in R Expressions

listenv — 0.7.0

Environments Behaving (Almost) as Lists

matrixStats — 0.54.0

Functions that Apply to Rows and Columns of Matrices (and to Vectors)

profmem — 0.5.0

Simple Memory Profiling for R

startup — 0.12.0

Friendly R Startup Configuration