|
r-shinyshortcut
|
public |
Provides function shinyShortcut() that, when given the base directory of a shiny application, will produce an executable file that runs the shiny app directly in the user's default browser. Tested on both windows and unix machines. Inspired by and borrowing from <http://www.mango-solutions.com/wp/2017/03/shiny-based-tablet-or-desktop-app/>.
|
2025-03-25 |
|
r-shiny.semantic
|
public |
Creating a great user interface for your Shiny apps can be a hassle, especially if you want to work purely in R and don't want to use, for instance HTML templates. This package adds support for a powerful UI library Semantic UI - <http://semantic-ui.com/>. It also supports universal UI input binding that works with various DOM elements.
|
2025-03-25 |
|
r-shiny.router
|
public |
The minimal router for your Shiny apps. It allows you to create dynamic web applications with real-time user interface and easily share URLs to pages within your Shiny apps.
|
2025-03-25 |
|
r-shinymatrix
|
public |
Implements a custom matrix input field.
|
2025-03-25 |
|
r-shinymaterial
|
public |
Allows shiny developers to incorporate UI elements based on Google's Material design. See <https://material.io/guidelines/> for more information.
|
2025-03-25 |
|
r-shinylp
|
public |
Provides functions that wrap HTML Bootstrap components code to enable the design and layout of informative landing home pages for Shiny applications. This can lead to a better user experience for the users and writing less HTML for the developer.
|
2025-03-25 |
|
r-shinyjqui
|
public |
An extension to shiny that brings interactions and animation effects from 'jQuery UI' library.
|
2025-03-25 |
|
r-shiny.i18n
|
public |
It provides easy internationalization of Shiny applications. It can be used as standalone translation package to translate reports, interactive visualizations or graphical elements as well.
|
2025-03-25 |
|
r-shinyhelper
|
public |
Creates a lightweight way to add markdown helpfiles to 'shiny' apps, using modal dialog boxes, with no need to observe each help button separately.
|
2025-03-25 |
|
r-shinyglide
|
public |
Insert Glide JavaScript component into Shiny applications for carousel or assistant-like user interfaces.
|
2025-03-25 |
|
r-shinyfeedback
|
public |
Easily display user feedback next to Shiny inputs. The feedback message is displayed when the feedback condition evaluates to TRUE.
|
2025-03-25 |
|
r-shinyeffects
|
public |
Add fancy CSS effects to your 'shinydashboards' or 'shiny' apps. 100% compatible with 'shinydashboardPlus' and 'bs4Dash'.
|
2025-03-25 |
|
r-shinydnd
|
public |
Add functionality to create drag and drop div elements in shiny.
|
2025-03-25 |
|
r-shinydashboardplus
|
public |
Extend 'shinydashboard' with 'AdminLTE2' components. 'AdminLTE2' is a free 'Bootstrap 3' dashboard template available at <https://adminlte.io>. Customize boxes, add timelines and a lot more.
|
2025-03-25 |
|
r-shinycustomloader
|
public |
A custom css/html or gif/image file for the loading screen in R 'shiny'. It also can use the marquee to have custom text loading screen.
|
2025-03-25 |
|
r-shinybusy
|
public |
Add a global indicator (spinner, progress bar, gif) in your 'shiny' applications to show the user that the server is busy.
|
2025-03-25 |
|
r-shinybootstrap2
|
public |
Provides Bootstrap 2 web components for use with the Shiny package. With versions of Shiny prior to 0.11, these Bootstrap 2 components were included as part of the package. Later versions of Shiny include Bootstrap 3, so the Bootstrap 2 components have been moved into this package for those uses who rely on features specific to Bootstrap 2.
|
2025-03-25 |
|
r-shinyanimate
|
public |
An extension of 'animate.css' that allows user to easily add animations to any UI element in 'shiny' app using the elements id.
|
2025-03-25 |
|
r-shinyalert
|
public |
Easily create pretty popup messages (modals) in 'Shiny'. A modal can contain text, images, OK/Cancel buttons, an input to get a response from the user, and many more customizable options.
|
2025-03-25 |
|
r-shinyaframe
|
public |
Make R data available in Web-based virtual reality experiences for immersive, cross-platform data visualizations. Includes the 'gg-aframe' JavaScript package for a Grammar of Graphics declarative HTML syntax to create 3-dimensional data visualizations with 'Mozilla A-Frame' <https://aframe.io>.
|
2025-03-25 |
|
r-shinyace
|
public |
Ace editor bindings to enable a rich text editing environment within Shiny.
|
2025-03-25 |
|
r-shiftsharese
|
public |
Provides confidence intervals in least-squares regressions when the variable of interest has a shift-share structure, and in instrumental variables regressions when the instrument has a shift-share structure. The confidence intervals implement the AKM and AKM0 methods developed in Adão, Kolesár, and Morales (2019) <doi:10.1093/qje/qjz025>.
|
2025-03-25 |
|
r-sharpr2
|
public |
An algorithm for identifying high-resolution driver elements for datasets from a high-definition reporter assay library. Xinchen Wang, Liang He, Sarah Goggin, Alham Saadat, Li Wang, Melina Claussnitzer, Manolis Kellis (2017) <doi:10.1101/193136>.
|
2025-03-25 |
|
r-shapefiles
|
public |
Functions to read and write ESRI shapefiles
|
2025-03-25 |
|
r-shapechange
|
public |
In a scatterplot where the response variable is Gaussian, Poisson or binomial, we consider the case in which the mean function is smooth with a change-point, which is a mode, an inflection point or a jump point. The main routine estimates the mean curve and the change-point as well using shape-restricted B-splines. An optional subroutine delivering a bootstrap confidence interval for the change-point is incorporated in the main routine.
|
2025-03-25 |
|
r-shape
|
public |
Functions for plotting graphical shapes such as ellipses, circles, cylinders, arrows, ...
|
2025-03-25 |
|
r-shades
|
public |
Functions for easily manipulating colours, creating colour scales and calculating colour distances.
|
2025-03-25 |
|
r-sgrsea
|
public |
Provides functions to implement sgRSEA (single-guide RNA Set Enrichment Analysis), which is a robust test for identification of essential genes from genetic screening data using CRISPR (clustered regularly interspaced short palindromic repeats) and Cas9 (CRISPR-associated nuclease 9) system.
|
2025-03-25 |
|
r-sgr
|
public |
The package for Sample Generation by Replacement simulations (SGR; Lombardi & Pastore, 2014; Pastore & Lombardi, 2014). The package can be used to perform fake data analysis according to the sample generation by replacement approach. It includes functions for making simple inferences about discrete/ordinal fake data. The package allows to study the implications of fake data for empirical results.
|
2025-03-25 |
|
r-sgpdata
|
public |
Data sets utilized by the 'SGP' package as exemplars for users to conduct their own student growth percentiles (SGP) analyses.
|
2025-03-25 |
|
r-sgmcmc
|
public |
Provides functions that performs popular stochastic gradient Markov chain Monte Carlo (SGMCMC) methods on user specified models. The required gradients are automatically calculated using 'TensorFlow' <https://www.tensorflow.org/>, an efficient library for numerical computation. This means only the log likelihood and log prior functions need to be specified. The methods implemented include stochastic gradient Langevin dynamics (SGLD), stochastic gradient Hamiltonian Monte Carlo (SGHMC), stochastic gradient Nose-Hoover thermostat (SGNHT) and their respective control variate versions for increased efficiency. References: M. Welling, Y. W. Teh (2011) <http://www.icml-2011.org/papers/398_icmlpaper.pdf>; T. Chen, E. B. Fox, C. E. Guestrin (2014) <arXiv:1402.4102>; N. Ding, Y. Fang, R. Babbush, C. Chen, R. D. Skeel, H. Neven (2014) <https://papers.nips.cc/paper/5592-bayesian-sampling-using-stochastic-gradient-thermostats>; J. Baker, P. Fearnhead, E. B. Fox, C. Nemeth (2017) <arXiv:1706.05439>.
|
2025-03-25 |
|
r-sgee
|
public |
Stagewise techniques implemented with Generalized Estimating Equations to handle individual, group, bi-level, and interaction selection. Stagewise approaches start with an empty model and slowly build the model over several iterations, which yields a 'path' of candidate models from which model selection can be performed. This 'slow brewing' approach gives stagewise techniques a unique flexibility that allows simple incorporation of Generalized Estimating Equations; see Vaughan, G., Aseltine, R., Chen, K., Yan, J., (2017) <doi:10.1111/biom.12669> for details.
|
2025-03-25 |
|
r-sgb
|
public |
Main properties and regression procedures using a generalization of the Dirichlet distribution called Simplicial Generalized Beta distribution. It is a new distribution on the simplex (i.e. on the space of compositions or positive vectors with sum of components equal to 1). The Dirichlet distribution can be constructed from a random vector of independent Gamma variables divided by their sum. The SGB follows the same construction with generalized Gamma instead of Gamma variables. The Dirichlet exponents are supplemented by an overall shape parameter and a vector of scales. The scale vector is itself a composition and can be modeled with auxiliary variables through a log-ratio transformation. Graf, M. (2017, ISBN: 978-84-947240-0-8). See also the vignette enclosed in the package.
|
2025-03-25 |
|
r-sfinx
|
public |
The straightforward filtering index (SFINX) identifies true positive protein interactions in a fast, user-friendly, and highly accurate way. It is not only useful for the filtering of affinity purification - mass spectrometry (AP-MS) data, but also for similar types of data resulting from other co-complex interactomics technologies, such as TAP-MS, Virotrap and BioID. SFINX can also be used via the website interface at <http://sfinx.ugent.be>.
|
2025-03-25 |
|
r-sfa
|
public |
Stochastic Frontier Analysis introduced by Aigner, Lovell and Schmidt (1976) and Battese and Coelli (1992, 1995).
|
2025-03-25 |
|
r-severity
|
public |
This package contains functions for calculating severity and generating severity curves. Specifically, the simple case of the one-parameter Normal distribution (i.e., with known variance) is considered.
|
2025-03-25 |
|
r-settings
|
public |
Provides option settings management that goes beyond R's default 'options' function. With this package, users can define their own option settings manager holding option names, default values and (if so desired) ranges or sets of allowed option values that will be automatically checked. Settings can then be retrieved, altered and reset to defaults with ease. For R programmers and package developers it offers cloning and merging functionality which allows for conveniently defining global and local options, possibly in a multilevel options hierarchy. See the package vignette for some examples concerning functions, S4 classes, and reference classes. There are convenience functions to reset par() and options() to their 'factory defaults'.
|
2025-03-25 |
|
r-settest
|
public |
It provides cumulative distribution function (CDF), quantile, p-value, statistical power calculator and random number generator for a collection of group-testing procedures, including the Higher Criticism tests, the one-sided Kolmogorov-Smirnov tests, the one-sided Berk-Jones tests, the one-sided phi-divergence tests, etc. The input are a group of p-values. The null hypothesis is that they are i.i.d. Uniform(0,1). In the context of signal detection, the null hypothesis means no signals. In the context of the goodness-of-fit testing, which contrasts a group of i.i.d. random variables to a given continuous distribution, the input p-values can be obtained by the CDF transformation. The null hypothesis means that these random variables follow the given distribution. For reference, see Hong Zhang, Jiashun Jin and Zheyang Wu. "Distributions and Statistical Power of Optimal Signal-Detection Methods In Finite Cases", submitted.
|
2025-03-25 |
|
r-setter
|
public |
Mutators to set attributes of variables, that work well in a pipe (much like stats::setNames()).
|
2025-03-25 |
|
r-setrng
|
public |
SetRNG provides utilities to help set and record the setting of the seed and the uniform and normal generators used when a random experiment is run. The utilities can be used in other functions that do random experiments to simplify recording and/or setting all the necessary information for reproducibility. See the vignette and reference manual for examples.
|
2025-03-25 |
|
r-setrank
|
public |
Implements an algorithm to conduct advanced gene set enrichment analysis on the results of genomics experiments.
|
2025-03-25 |
|
r-setpath
|
public |
Tests gene expression data from a biological pathway for biologically meaningful differences in the eigenstructure between two classes. Specifically, it tests the null hypothesis that the two classes' leading eigenvalues and sums of eigenvalues are equal. A pathway's leading eigenvalue arguably represents the total variability due to variability in pathway activity, while the sum of all its eigenvalues represents the variability due to pathway activity and to other, unregulated causes. Implementation of the method described in Danaher (2015), "Covariance-based analyses of biological pathways".
|
2025-03-25 |
|
r-session
|
public |
Utility functions for interacting with R processes from external programs. This package includes functions to save and restore session information (including loaded packages, and attached data objects), as well as functions to evaluate strings containing R commands and return the printed results or an execution transcript.
|
2025-03-25 |
|
r-sesem
|
public |
Structural equation modeling is a powerful statistical approach for the testing of networks of direct and indirect theoretical causal relationships in complex data sets with inter-correlated dependent and independent variables. Here we implement a simple method for spatially explicit structural equation modeling based on the analysis of variance co-variance matrices calculated across a range of lag distances. This method provides readily interpreted plots of the change in path coefficients across scale.
|
2025-03-25 |
|
r-servr
|
public |
Start an HTTP server in R to serve static files, or dynamic documents that can be converted to HTML files (e.g., R Markdown) under a given directory.
|
2025-03-25 |
|
r-seroincidence
|
public |
Translates antibody levels measured in a (cross-sectional) population sample into an estimate of the frequency with which seroconversions (infections) occur in the sampled population.
|
2025-03-25 |
|
r-serieslcb
|
public |
Calculate and compare lower confidence bounds for binomial series system reliability. The R 'shiny' application, launched by the function launch_app(), weaves together a workflow of customized simulations and delta coverage calculations to output recommended lower confidence bound methods.
|
2025-03-25 |
|
r-serial
|
public |
Enables reading and writing binary and ASCII data to RS232/RS422/RS485 or any other virtual serial interfaces of the computer.
|
2025-03-25 |
|
r-sequential
|
public |
Functions to calculate exact critical values, statistical power, expected time to signal, and required sample sizes for performing exact sequential analysis. All these calculations can be done for either Poisson or binomial data, for continuous or group sequential analyses, and for different types of rejection boundaries. In case of group sequential analyses, the group sizes do not have to be specified in advance and the alpha spending can be arbitrarily settled.
|
2025-03-25 |
|
r-seqtest
|
public |
Sequential triangular test for the arithmetic mean in one- and two- samples, proportions in one- and two-samples, and the Pearson's correlation coefficient.
|
2025-03-25 |
