This package provides ggplot2 geoms for drawing treemaps.
Imports log and data files from "Eosense" ecosystem gas flux chambers into dataframes that can directly be used with "fluxible" by Gaudard et al (2025) <doi:10.1111/2041-210X.70161>.
Using this package, it is possible to call a BUGS model, summarize inferences and convergence in a table and graph, and save the simulations in arrays for easy access in R.
This package provides a framework for the measurement and partitioning of the (similarity-sensitive) biodiversity of a metacommunity and its constituent subcommunities. Richard Reeve, et al. (2016) <arXiv:1404.6520v3>.
This package was automatically created by package AnnotationForge version 1.11.21. The probe sequence data was obtained from http://www.affymetrix.com. The file name was RT-U34\_probe\_tab.
This package was automatically created by package AnnotationForge version 1.11.21. The probe sequence data was obtained from http://www.affymetrix.com. The file name was RN-U34\_probe\_tab.
It computes the Schmidt decomposition of bipartite quantum systems, discrete or continuous, and their respective entanglement metrics. See Artur Ekert, Peter L. Knight (1995) <doi:10.1119/1.17904> for more details.
The R Formatter formats R source code. It is very much based on formatR, but tries to improve it by heuristics. For example, spaces can be forced around the division operator "/".
This package lets you fit pedigree-based mixed-effects models.
RTree is a Python package with bindings for libspatialindex.
This package provides unicode normalization form support for Ruby.
The gene set collection used for the GIGSEA package.
Example HapMap data from Illumina 370k BeadChips.
build graphs from pathway databases, render them by Rgraphviz.
Computes conditional multivariate normal densities, probabilities, and random deviates.
Routines for forecasting univariate time series using Theta Models.
Non-parametric resampling-based inference tests for ExPosition.
Implement tour algorithms in interactive graphical system loon'.
This package provides tools to identify and read BMP, JPEG, PNG, and TIFF format bitmap images. Identification defaults to the use of the magic number embedded in the file rather than the file extension.
The Nearest Neighbor Descent method for finding approximate nearest neighbors by Dong and co-workers (2010) <doi:10.1145/1963405.1963487>. Based on the Python package PyNNDescent <https://github.com/lmcinnes/pynndescent>.
This package provides functions to read and write ImageJ (<https://imagej.net>) Region of Interest (ROI) files, to plot the ROIs and to convert them to spatstat (<https://spatstat.org/>) spatial patterns.
Accurate prediction of subject recruitment for Randomized Clinical Trials (RCT) remains an ongoing challenge. Many previous prediction models rely on parametric assumptions. We present functions for non-parametric RCT recruitment prediction under several scenarios.
This package provides functions and datasets to support Summary and Analysis of Extension Program Evaluation in R, and An R Companion for the Handbook of Biological Statistics. Vignettes are available at <https://rcompanion.org>.
Class to build custom data structures, similar to a Hash.