This package provides an enum-type representation of vectors and representation of intervals, including a method of coercing variables in data frames.

This package provides various methods to conduct Spatio-Temporal Analysis and Modelling, including Exploratory Spatio-Temporal Analysis and Inferred Spatio-Temporal Modelling.

The package implements a series of highly efficient tools to calculate functional properties of networks based on guilt by association methods.

The package contains the function for filtering genes by the proportion of variation accounted for by the first principal component (PVAC).

Set of functions to analyse and estimate Artificial Counterfactual models from Carvalho, Masini and Medeiros (2016) <DOI:10.2139/ssrn.2823687>.

Loads behavioural data from the widely used Drosophila Activity Monitor System (DAMS, TriKinetics <https://trikinetics.com/>) into the rethomics framework.

Perform tree-ring analyses such as detrending, chronology building, and cross dating. Read and write standard file formats used in dendrochronology.

Preferred methods for common analytical tasks that are undertaken across the Department, including number formatting, project templates and curated reference data.

Estimates extinction risk from population time series under a drifted Wiener process using the w-z method for accurate confidence intervals.

Impute general multivariate missing data with the fractional hot deck imputation based on Jaekwang Kim (2011) <doi:10.1093/biomet/asq073>.

This package provides functions for the management and treatment of hydrology and meteorology time-series stored in a Sqlite data base.

Computes the Nelson-Aalen estimator of the cumulative transition hazard for arbitrary Markov multistate models <ISBN:978-0-387-68560-1>.

Exploratory data analysis and manipulation functions for multi- label data sets along with an interactive Shiny application to ease their use.

Fit multinomial logistic regression with a penalty on the nuclear norm of the estimated regression coefficient matrix, using proximal gradient descent.

Renders dynamic network data from networkDynamic objects as movies, interactive animations, or other representations of changing relational structures and attributes.

Solves linear systems of form Ax=b via Gauss elimination, LU decomposition, Gauss-Seidel, Conjugate Gradient Method (CGM) and Cholesky methods.

Convert odds ratio to relative risk in cohort studies with partial data information (Wang (2013) <doi:10.18637/jss.v055.i05>).

This package provides function declarations and inline function definitions that facilitate cleaning strings in C++ code before passing them to R.

Simple toolkit for working with TOML text. Based on tomledit which allows for modifying TOML while preserving order, comments,and whitespace.

This package provides a new inverse probability of selection weighted Cox model to deal with outcome-dependent sampling in survival analysis.

The Common Workflow Language (CWL) is an open standard for development of data analysis workflows that is portable and scalable across different tools and working environments. Rcwl provides a simple way to wrap command line tools and build CWL data analysis pipelines programmatically within R. It increases the ease of usage, development, and maintenance of CWL pipelines.

Earth Engine <https://earthengine.google.com/> client library for R. All of the Earth Engine API classes, modules, and functions are made available. Additional functions implemented include importing (exporting) of Earth Engine spatial objects, extraction of time series, interactive map display, assets management interface, and metadata display. See <https://r-spatial.github.io/rgee/> for further details.

Manually bin data using weight of evidence and information value. Includes other binning methods such as equal length, quantile and winsorized. Options for combining levels of categorical data are also available. Dummy variables can be generated based on the bins created using any of the available binning methods. References: Siddiqi, N. (2006) <doi:10.1002/9781119201731.biblio>.

Allows users to import data files containing heartbeat positions in the most broadly used formats, to remove outliers or points with unacceptable physiological values present in the time series, to plot HRV data, and to perform time domain, frequency domain and nonlinear HRV analysis. See Garcia et al. (2017) <DOI:10.1007/978-3-319-65355-6>.