This tool provides methods for aggregating ranked lists, especially lists of genes. It implements the Robust Rank Aggregation and other simple algorithms for the task. RRA method uses a probabilistic model for aggregation that is robust to noise and also facilitates the calculation of significance probabilities for all the elements in the final ranking.

This package contains data for mapping between NCBI taxonomy ID and species. It is used by functions in the GenomeInfoDb package.

This package implements the Figueiredo machine learning algorithm for adaptive sparsity and the Wong algorithm for adaptively sparse Gaussian geometric models.

This package implements rich tables for various purposes, it's JSON human-prettifier based on the rich Python library.

This class provides an attractive and highly readable CV which will hopefully lead to your CV being read rather than discarded.

This package provides PostgreSQL driver implementation for SQLx. Not for direct use; see the `sqlx` crate for details.

Adjusts output of cranlogs package to account for CRAN'-wide daily automated downloads and re-downloads caused by package updates.

Easily talk to Google's BigQuery Storage API from R (<https://cloud.google.com/bigquery/docs/reference/storage/rpc>).

Collect your data on digital marketing campaigns from Facebook Organic using the Windsor.ai API <https://windsor.ai/api-fields/>.

The sampl.mcmc function creates samples of the feasible region of a knapsack problem with both equalities and inequalities constraints.

An input controller for R Shiny: a matrix with radio buttons, where only one option per row can be selected.

I provide functions to calculate Gross Primary Productivity, Net Ecosystem Production, and Ecosystem Respiration from single station diurnal Oxygen curves.

The R453Plus1 Toolbox comprises useful functions for the analysis of data generated by Roche's 454 sequencing platform. It adds functions for quality assurance as well as for annotation and visualization of detected variants, complementing the software tools shipped by Roche with their product. Further, a pipeline for the detection of structural variants is provided.

This is a package for saving GenomicRanges, IRanges and related data structures into file artifacts, and loading them back into memory. This is a more portable alternative to serialization of such objects into RDS files. Each artifact is associated with metadata for further interpretation; downstream applications can enrich this metadata with context-specific properties.

The yeast genome data was retrieved from the sequence read archive, aligned with bwa, and converted to BAM format with samtools.

ruby-hydra-minimal is a Ruby library for working with hyphenation patterns. It is a low-dependency variant of ruby-hydra.

ruby-hydra-minimal is a Ruby library for working with hyphenation patterns. It is a low-dependency variant of ruby-hydra.

Extends the BatchJobs package to run statistical experiments on batch computing clusters. For further details see the project web page.

Draws causal hypergraph plots from models output by configurational comparative methods such as Coincidence Analysis (CNA) or Qualitative Comparative Analysis (QCA).

This package provides a set of utilities for manipulating index numbers series including chain-linking, re-referencing, and computing growth rates.

This package provides a function that, as an alternative to base::list, allows default values to be inherited from another list.

Color palettes for data visualization inspired by National Parks. Currently contains 15 color schemes and checks for colorblind-friendliness of palettes.

Measuring information flow between time series with Shannon and Rényi transfer entropy. See also Dimpfl and Peter (2013) <doi:10.1515/snde-2012-0044> and Dimpfl and Peter (2014) <doi:10.1016/j.intfin.2014.03.004> for theory and applications to financial time series. Additional references can be found in the theory part of the vignette.

The iterative Bayesian Model Averaging (BMA) algorithm for survival analysis is a variable selection method for applying survival analysis to microarray data.