This package provides a ggplot2 extension for drawing gene arrow maps.

Cane fails your build if code quality thresholds are not met.

exprSet for Alon et al. (1999) colon cancer data.

Package includes functions to analyze and mask microarray expression data.

This package contains the HGU133 and HGU95 spikein experiment data.

Fit beta calibration models and obtain calibrated probabilities from them.

Bimodal Gumbel distribution. General functions for performing extreme value analysis.

Plots dependency logos from a set of aligned input sequences.

Combine pieces of evidence in the form of uncertainty representations.

Set of functions to create datasets using a correlation matrix.

Probability functions and other utilities for the generalized Hermite distribution.

We provide detailed functions for univariate Mixed Tempered Stable distribution.

This package provides tools for specifying time series regression models.

Data from the United Nation's World Population Prospects 2010.

Data from the United Nation's World Population Prospects 2008.

Search and download data from the World Bank Data API.

Data from the United Nation's World Population Prospects 2012.

OpenRefine (formerly Google Refine') is a popular, open source data cleaning software. This package enables users to programmatically trigger data transfer between R and OpenRefine'. Available functionality includes project import, export and deletion.

Sample size and confidence interval calculations in reversible catalytic models, with applications in malaria research. Further details can be found in the paper by Sepúlveda and Drakeley (2015, <doi:10.1186/s12936-015-0661-z>).

An R Interface to EPP-lab v1.0. EPP-lab is a Java program for projection pursuit using genetic algorithms written by Alain Berro and S. Larabi Marie-Sainte and is included in the package.

This package provides a novel generalized Random Forest method, that can improve on RFs by borrowing the strength of penalized parametric regression. Based on Zhang et al. (2019) <doi:10.48550/arXiv.1904.10416>.

This package provides a platform-independent browser-based interface for business analytics in R, based on the shiny package. The application combines the functionality of radiant.data', radiant.design', radiant.basics', radiant.model', and radiant.multivariate'.

Calculate rarefaction-based alpha- and beta-diversity. Offer parametric extrapolation to estimate the total expected species in a single community and the total expected shared species between two communities. Visualize the curve-fitting for these estimators.

Processing and analysis of targeted sequencing data. The package provides a user-friendly interface for core VSEARCH (Rognes et al. (2016), <doi:10.7717/peerj.2584>) functions, in addition to tools for visualization and parameter tuning.