The identity provider ['OneLogin']<http://onelogin.com> is used for authentication via Single Sign On (SSO). This package provides an R interface to their API.
Global univariate minimization of Lipschitz functions is performed by using Pijavski method, which was published in Pijavski (1972) <DOI:10.1016/0041-5553(72)90115-2>.
This package provides a very bare-bones interface to use the Metropolis-Hastings Monte Carlo Markov Chain algorithm. It is suitable for teaching and testing purposes.
This package provides model specifications, tuning parameters for models in dann package. Models based on Hastie (1996) <https://web.stanford.edu/~hastie/Papers/dann_IEEE.pdf>.
Taxonomic information from Wikipedia', Wikicommons', Wikispecies', and Wikidata'. Functions included for getting taxonomic information from each of the sources just listed, as well performing taxonomic search.
The matchBox package enables comparing ranked vectors of features, merging multiple datasets, removing redundant features, using CAT-plots and Venn diagrams, and computing statistical significance.
This is a simple data package including various data sets derived from the estrogen data for use with the puma (Propagating Uncertainty in Microarray Analysis) package.
Ularcirc reads in STAR aligned splice junction files and provides visualisation and analysis tools for splicing analysis. Users can assess backsplice junctions and forward canonical junctions.
This package provides classes and statistical methods for large single-nucleotide polymorphism (SNP) association studies. This extends the earlier snpMatrix package, allowing for uncertainty in genotypes.
Phangorn is a package for phylogenetic analysis in R. It supports estimation of phylogenetic trees and networks using Maximum Likelihood, Maximum Parsimony, distance methods and Hadamard conjugation.
This package provides a collection of functions to help in the analysis of right-censored survival data. These extend the methods available in the survival package.
This package provides a ggplot2 extension for easy plotting of half-half geom combinations. Think half boxplot and half jitterplot, or half violinplot and half dotplot.
This package provides common functionality for the dynverse packages. dynverse is created to support the development, execution, and benchmarking of trajectory inference methods.
The R kernel for the Jupyter environment executes R code which the front-end (Jupyter Notebook or other front-ends) submits to the kernel via the network.
The goal of this script is to provide a fast and lightweight script to enable responsive web designs in browsers that don't support CSS3 Media Queries.
Rosegarden is a music composition and editing environment based around a MIDI sequencer that features a rich understanding of music notation and includes basic support for digital audio.
This library provides Ruby qFFI bindings to the libsass library. This enables rendering SASS from Ruby code.
Building interactive web applications with R is incredibly easy with shiny'. Behind the scenes, shiny builds a reactive graph that can quickly become intertwined and difficult to debug. reactlog (Schloerke 2019) <doi:10.5281/zenodo.2591517> provides a visual insight into that black box of shiny reactivity by constructing a directed dependency graph of the application's reactive state at any time point in a reactive recording.
This package creates a muti-graph web page which allows the interactive exploration of differential expression results. The graphical web interface presents results as a table which is integrated with five interactive graphs: MA-plot, volcano plot, box plot, lines plot and cluster heatmap. Graphical aspect and information represented in the graphs can be customized by means of user controls. Final graphics can be exported as PNG format.
Get a current financial year, start of current month, End of current month, start of financial year and end of it. Allow for offset from the date.
Method to implement some newly developed methods for the estimation of the conditional survival function. See Meira-Machado, Sestelo and Goncalves (2016) <doi:10.1002/bimj.201500038>.
Encode and decode c-squares, from and to simple feature (sf) or spatiotemporal arrays (stars) objects. Use c-squares codes to quickly join or query spatial data.
Non-parametric tests (Wilcoxon rank sum test and Wilcoxon signed rank test) for clustered data documented in Jiang et. al (2020) <doi:10.18637/jss.v096.i06>.
Estimation, testing and regression modeling of subdistribution functions in competing risks using quantile regressions, as described in Peng and Fine (2009) <DOI:10.1198/jasa.2009.tm08228>.