This package provides functions for analysis of real-time quantitative PCR data at SIRS-Lab GmbH.

This package provides an object for plotting GRanges, RleList, UCSC file formats, and ffTrack objects in multi-track panels.

The gg.gap function enables you to define segments for the y-axis in a ggplot2 plot.

This package provides classes and methods for dense and sparse matrices and operations on them using LAPACK and SuiteSparse.

Computes local polynomial estimators for the regression and also density. It comprises several different utilities to handle kernel estimators.

This package lets you convert R Markdown documents and Jupyter notebooks to a variety of output formats using Quarto.

Rove is a unit testing framework for Common Lisp applications. This is intended to be a successor of Prove.

RTMPdump is a toolkit for RTMP streams. All forms of RTMP are supported, including rtmp://, rtmpt://, rtmpe://, rtmpte://, and rtmps://.

ast is a Ruby library for working with Abstract Syntax Trees. It does this through immutable data structures.

This package provides a tbl_df class that offers better checking and printing capabilities than traditional data frames.

This package computes model and semi partial R squared with confidence limits for the linear and generalized linear mixed model (LMM and GLMM). The R squared measure from L. J. Edwards et al. (2008) is extended to the GLMM using penalized quasi-likelihood (PQL) estimation (see Jaeger et al. (2016)).

Record your test suite's HTTP interactions and replay them during future test runs for fast, deterministic, accurate tests.

This package provides a simple client package for the Amazon Web Services (AWS) Simple Storage Service (S3) REST API.

This package enables you to define a command-line interface by just giving it a description in the specific format.

This package provides functions for assessing the replication/preservation of a network module's topology across datasets through permutation testing.

This package provide simulation based methods for evaluating the statistical power in differential expression analysis from RNA-seq data.

R/GSEPD is a bioinformatics package for R to help disambiguate transcriptome samples (a matrix of RNA-Seq counts at transcript IDs) by automating differential expression (with DESeq2), then gene set enrichment (with GOSeq), and finally a N-dimensional projection to quantify in which ways each sample is like either treatment group.

This package provides an interface to implementations of the GatingML2.0 standard to exchange gated cytometry data with other software platforms.

This package contains data used by pagoda2. The data within this package are the 3000 bone marrow cells used for vignettes.

This package provides a collection of dimensionality reduction techniques from R packages and provides a common interface for calling the methods.

This package extends the out of memory vectors of ff with statistical functions and other utilities to ease their usage.

This package computes cell fate bias for multi-lineage single-cell data. It also provides visualization tools for analyzing these biases.

This is a pure R implementation of the Covariance Matrix Adaptation Evolution Strategy (CMA-ES) with optional restarts (IPOP-CMA-ES).

This package provides data sets and functions for Klein and Moeschberger (1997), "Survival Analysis, Techniques for Censored and Truncated Data", Springer.