This package implements techniques for educational resource inspection, selection, and evaluation (RISE) described in Bodily, Nyland, and Wiley (2017) <doi:10.19173/irrodl.v18i2.2952>. Automates the process of identifying learning materials that are not effectively supporting student learning in technology-mediated courses by synthesizing information about access to course content and performance on assessments.

Simple and fast tool for transforming phytosociological vegetation data into digital form for the following analysis. Danihelka, Chrtek, and Kaplan (2012, ISSN:00327786). Hennekens, and Schaminée (2001) <doi:10.2307/3237010>. Tichý (2002) <doi:10.1111/j.1654-1103.2002.tb02069.x>. Wickham, François, Henry, Müller (2022) <https://CRAN.R-project.org/package=dplyr>.

The Brazilian Central Bank API delivers many datasets which regard economic activity, regional economy, international economy, public finances, credit indicators and many more. For more information please see <http://dadosabertos.bcb.gov.br/>. These datasets can be accessed through rbcb functions and can be obtained in different data structures common to R ('tibble', data.frame', xts', ...).

This package guesses the MIME type from a filename extension using the data derived from /etc/mime.types in UNIX-type systems.

This package provides utilities for processing Rd objects and files. Extract argument descriptions and other parts of the help pages of functions.

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

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

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.

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.

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

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

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

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.