Combining bootstrap aggregating and Gene set enrichment analysis (GSEA), RGSEA is a classfication algorithm with high robustness and no over-fitting problem. It performs well especially for the data generated from different exprements.
This package provides random number generating functions that are much more context aware than the built-in functions. The functions are also much safer, as they check for incompatible values, and more reproducible.
Create custom keyboard shortcuts to examine code selected in the Rstudio editor. F3 can for example yield str(selection) and F7 open the source code of CRAN and base package functions on github'.
Enables the use of color palettes inspired by the Dune movies. These palettes are compatible with ggplot2'. See Wickham (2016) <doi:10.1007/978-3-319-24277-4> for more details on ggplot2'.
An interactive data visualization and exploration toolkit that implements Breiman and Cutler's original random forest Java based visualization tools in R, for supervised and unsupervised classification and regression within the algorithm random forest.
The r4sub package is a meta-package that installs and loads core packages of the R4SUB (R for Regulatory Submission) clinical submission readiness ecosystem. Loading r4sub attaches r4subcore', r4subtrace', r4subscore', r4subrisk', r4subdata', and r4subprofile'.
An HTTP API client for Lemmy (<https://github.com/LemmyNet/lemmy>) in R. Code and documentation are generated from the official JavaScript client source (<https://github.com/LemmyNet/lemmy-js-client>).
This package provides fully Bayesian mixture models for differential gene expression.
This package provides tools for regression subset selection, including exhaustive search.
The Redland RDF Library (librdf) provides the RDF API and triple stores.
This package contains implementations for pseudorandom and quasirandom number generation in HIP.
Platform Design Info for The Manufacturer's Name AG.
Bayesian inference on the (discrete) power spectrum of time series.
Perform record linkage on streaming files using recursive Bayesian updating.
Workbench for testing genomic regression accuracy on (optionally noisy) phenotypes.
Network functionalities specialized for data generated from input-output tables.
Bayesian population size estimation using non parametric latent-class models.
Estimate covariance matrices that contain low rank and sparse components.
Computational tools to represent phylogenetic signals using adapted eigenvector maps.
Interface to Apache Commons Email to send emails from R.
Compute and tune some positive definite and sparse covariance estimators.
Algorithms to create prognostic biomarkers using biological genesets or networks.
Basic functions for dealing with wav files and sound samples.
Misc support functions for rOpenGov and open data downloads.