This package provides a word cloud text geom for ggplot2'. Texts are placed so that they do not overlap as in ggrepel'. The algorithm used is a variation around the one of wordcloud2.js'.

This package provides a wrapper for the Highcharts library including shortcut functions to plot R objects. Highcharts <https://www.highcharts.com/> is a charting library offering numerous chart types with a simple configuration syntax.

Helps to render interlinear glossed linguistic examples in html rmarkdown documents and then semi-automatically compiles the list of glosses at the end of the document. It also provides a database of linguistic glosses.

Combine the air quality data analysis methods of openair with the JavaScript Leaflet (<https://leafletjs.com/>) library. Functionality includes plotting site maps, "directional analysis" figures such as polar plots, and air mass trajectories.

Applies cartographic projections to spatial data frames containing geographic coordinates. Projection methods are based on the D3.js ecosystem <doi:10.1109/TVCG.2011.185> and use spherical geometry rather than ellipsoidal geodesic models.

Use Pokemon(R) inspired palettes with additional ggplot2 scales. Palettes are the colours in each Pokemon's sprite, ordered by how common they are in the image. The first 386 Pokemon are currently provided.

Displays processing time in a clear and structured way. One function supports iterative workflows by predicting and showing the total time required, while another reports the time taken for individual steps within a process.

This package provides a unified interface to extract trends, cycles, and seasonal components from monthly and quarterly time series using established econometric filters and smoothing methods, with frequency-aware defaults for common economic frequencies.

Test of linearity originally proposed by Yatchew (1997) <doi:10.1016/S0165-1765(97)00218-8> and improved by de Chaisemartin & D'Haultfoeuille (2024) <doi:10.2139/ssrn.4284811> to be robust under heteroskedasticity.

The official GitLab Runner written in Go. It runs tests and sends the results to GitLab. GitLab CI is the open-source continuous integration service included with GitLab that coordinates the testing.

The ReactomeGSA packages uses Reactome's online analysis service to perform a multi-omics gene set analysis. The main advantage of this package is, that the retrieved results can be visualized using REACTOME's powerful webapplication. Since Reactome's analysis service also uses R to perfrom the actual gene set analysis you will get similar results when using the same packages (such as limma and edgeR) locally. Therefore, if you only require a gene set analysis, different packages are more suited.

This package implements the pseudo-R2D2 prior for ordinal regression from the paper "Pseudo-R2D2 prior for high-dimensional ordinal regression" by Yanchenko (2025) <doi:10.1007/s11222-025-10667-x>. In particular, it provides code to evaluate the probability distribution function for the cut-points, compute the log-likelihood, calculate the hyper-parameters for the global variance parameter, find the distribution of McFadden's coefficient-of-determination, and fit the model in rstan'. Please cite the paper if you use these codes.

This package provides tools to visualize read coverage from sequencing experiments together with genomic annotations (genes, transcripts, peaks). Introns of long transcripts can be rescaled to a fixed length for better visualization of exonic read coverage.

ChIPKernels is an R package for building different string kernels used for DNA Sequence analysis. A dictionary of the desired kernel must be built and this dictionary can be used for determining kernels for DNA Sequences.

A collection of various oversampling techniques developed from SMOTE is provided. SMOTE is an oversampling technique which synthesizes a new minority instance between a pair of one minority instance and one of its K nearest neighbor.

Asynchronous Reliable Extensible Sleek RPC Server for Guile. It's based on nREPL protocol and can be used for programmable interactions with a running guile processes, for implementing REPLs, IDEs, test runners or other tools.

Diff::LCS computes the difference between two Enumerable sequences using the McIlroy-Hunt longest common subsequence (LCS) algorithm. It includes utilities to create a simple HTML diff output format and a standard diff-like tool.

This package provides a DelayedArray interface for plink bed files. There is support for interfacing to plink genotype data via RangedSummarizedExperiment. Example data from the GEUVADIS project (internationalgenome.org) are used for demonstration.

TreeAndLeaf implements a hybrid layout strategy that enhances leaf-level visualization in dendrograms. By integrating force-directed graph and tree layout algorithms, it enables projection of multiple layers of information onto graph–tree diagrams.

Analysis of data from unreplicated orthogonal experiments such as 2-level factorial and fractional factorial designs and Plackett-Burman designs using the all possible comparisons (APC) methodology developed by Miller (2005) <doi:10.1198/004017004000000608>.

Easily create tables from data frames/matrices. Create/manipulate tables row-by-row, column-by-column or cell-by-cell. Use common formatting/styling to output rich tables as HTML', HTML widgets or to Excel'.

Enables DBI compliant packages to integrate with the RStudio connections pane, and the pins package. It automates the display of schemata, tables, views, as well as the preview of the table's top 1000 records.

Computes p-value according to the CRT using the HierNet test statistic. For more details, see Ham, Imai, Janson (2022) "Using Machine Learning to Test Causal Hypotheses in Conjoint Analysis" <arXiv:2201.08343>.

This package contains some commonly used categorical variable encoders, such as LabelEncoder and OneHotEncoder'. Inspired by the encoders implemented in Python sklearn.preprocessing package (see <http://scikit-learn.org/stable/modules/preprocessing.html>).