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r-sigmanet
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public |
Create interactive graph visualizations using 'Sigma.js' <http://sigmajs.org/>. This package is meant to be used in conjunction with 'igraph', replacing the (somewhat underwhelming) plotting features of the package. The idea is to quickly render graphs, regardless of their size, in a way that allows for easy, iterative modification of aesthetics. Because 'Sigma.js' is a 'javascript' library, the visualizations are inherently interactive and are well suited for integration with 'Shiny' apps. While there are several 'htmlwidgets' focused on network visualization, they tend to underperform on medium to large sized graphs. 'Sigma.js' was designed for larger network visualizations and this package aims to make those strengths available to 'R' users.
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2025-03-25 |
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r-sightabilitymodel
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public |
Uses logistic regression to model the probability of detection as a function of covariates. This model is then used with observational survey data to estimate population size, while accounting for uncertain detection. See Steinhorst and Samuel (1989).
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2025-03-25 |
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r-sigclust
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public |
SigClust is a statistical method for testing the significance of clustering results. SigClust can be applied to assess the statistical significance of splitting a data set into two clusters. For more than two clusters, SigClust can be used iteratively.
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2025-03-25 |
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r-sig
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public |
Print function signatures and find overly complicated code.
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2025-03-25 |
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r-sievetest
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public |
Functions for making particle-size analysis. Sieve tests are widely used to obtain particle-size distribution of powders or granular materials.
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2025-03-25 |
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r-sieveph
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public |
Implements semiparametric estimation and testing procedures for a continuous, possibly multivariate, mark-specific hazard ratio (treatment/placebo) of an event of interest in a randomized treatment efficacy trial with a time-to-event endpoint, as described in Juraska M and Gilbert PB (2013), Mark-specific hazard ratio model with multivariate continuous marks: an application to vaccine efficacy. Biometrics 69(2):328 337 <doi:10.1111/biom.12016>, and in Juraska M and Gilbert PB (2016), Mark-specific hazard ratio model with missing multivariate marks. Lifetime Data Analysis 22(4): 606-25 <doi:10.1007/s10985-015-9353-9>. The former considers continuous multivariate marks fully observed in all subjects who experience the event of interest, whereas the latter extends the previous work to allow multivariate marks that are subject to missingness-at-random. For models with missing marks, two estimators are implemented based on (i) inverse probability weighting (IPW) of complete cases, and (ii) augmentation of the IPW estimating functions by leveraging correlations between the mark and auxiliary data to 'impute' the expected profile score vectors for subjects with missing marks. The augmented IPW estimator is doubly robust and recommended for use with incomplete mark data. The methods make two key assumptions: (i) the time-to-event is assumed to be conditionally independent of the mark given treatment, and (ii) the weight function in the semiparametric density ratio/biased sampling model is assumed to be exponential. Diagnostic testing procedures for evaluating validity of both assumptions are implemented. Summary and plotting functions are provided for estimation and inferential results.
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2025-03-25 |
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r-sier
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public |
Methods for regression with high-dimensional predictors and univariate or maltivariate response variables. It considers the decomposition of the coefficient matrix that leads to the best approximation to the signal part in the response given any rank, and estimates the decomposition by solving a penalized generalized eigenvalue problem followed by a least squares procedure. Ruiyan Luo and Xin Qi (2017) <doi:10.1016/j.jmva.2016.09.005>.
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2025-03-25 |
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r-siebanxicor
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public |
Allows to retrieve time series of all indicators available in the Bank of Mexico's Economic Information System (<http://www.banxico.org.mx/SieInternet/>).
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2025-03-25 |
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r-si
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public |
An implementation of four stochastic methods of integrating in R, including: 1. Stochastic Point Method (or Monte Carlo Method); 2. Mean Value Method; 3. Important Sampling Method; 4. Stratified Sampling Method. It can be used to estimate one-dimension or multi-dimension integration by Monte Carlo methods. And the estimated variance (precision) is given. Reference: Caflisch, R. E. (1998) <doi:10.1017/S0962492900002804>.
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2025-03-25 |
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r-shutterstock
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public |
Access 'Shutterstock' API from R. The 'Shutterstock' API presents access to search, view, license and download the media and information from the 'Shutterstock's library <https://api-reference.shutterstock.com/>.
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2025-03-25 |
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r-shuffle
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public |
Implementation of the shuffle estimator, a non-parametric estimator for signal and noise variance under mild noise correlations.
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2025-03-25 |
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r-showimage
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public |
Sometimes it is handy to be able to view an image file on an 'R' graphics device. This package just does that. Currently it supports 'PNG' files.
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2025-03-25 |
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r-shotgroups
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public |
Analyzes shooting data with respect to group shape, precision, and accuracy. This includes graphical methods, descriptive statistics, and inference tests using standard, but also non-parametric and robust statistical methods. Implements distributions for radial error in bivariate normal variables. Works with files exported by 'OnTarget PC/TDS', 'Silver Mountain' e-target, 'ShotMarker' e-target, or 'Taran', as well as with custom data files in text format. Supports inference from range statistics such as extreme spread. Includes a set of web-based graphical user interfaces.
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2025-03-25 |
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r-shopifyr
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public |
An interface to the Admin API of the E-commerce service Shopify, (<https://help.shopify.com/en/api/reference>).
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2025-03-25 |
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r-shipunov
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public |
A collection of functions for data manipulation, plotting and statistical computing, to use separately or with the book "Visual Statistics. Use R!": Shipunov (2020) <http://ashipunov.info/shipunov/software/r/r-en.htm>. Dr Alexey Shipunov died in December 2022. Most useful functions: Bclust(), Jclust() and BootA() which bootstrap hierarchical clustering; Recode() which does multiple recoding in a fast, simple and flexible way; Misclass() which outputs confusion matrix even if classes are not concerted; Overlap() which measures group separation on any projection; Biarrows() which converts any scatterplot into biplot; and Pleiad() which is fast and flexible correlogram.
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2025-03-25 |
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r-ship
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public |
The SHIP-package allows the estimation of various types of shrinkage covariance matrices. These types differ in terms of the so-called covariance target (to be chosen by the user), the highly structured matrix which the standard unbiased sample covariance matrix is shrunken towards and which optionally incorporates prior biological knowledge extracted from the database KEGG. The shrinkage intensity is obtained via an analytical procedure.
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2025-03-25 |
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r-shinywidgets
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public |
Collection of custom input controls and user interface components for 'Shiny' applications. Give your applications a unique and colorful style !
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2025-03-25 |
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r-shinytree
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public |
Exposes bindings to jsTree -- a JavaScript library that supports interactive trees -- to enable a rich, editable trees in Shiny.
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2025-03-25 |
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r-shinytoastr
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public |
Browser notifications in 'Shiny' apps, using 'toastr': <https://github.com/CodeSeven/toastr#readme>.
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2025-03-25 |
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r-shinytime
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public |
Provides a time input widget for Shiny. This widget allows intuitive time input in the '[hh]:[mm]:[ss]' or '[hh]:[mm]' (24H) format by using a separate numeric input for each time component. The interface with R uses date-time objects. See the project page for more information and examples.
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2025-03-25 |
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r-shinyshortcut
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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/>.
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2025-03-25 |
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r-shiny.semantic
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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 Fomantic UI - <https://fomantic-ui.com/> (before Semantic). It also supports universal UI input binding that works with various DOM elements.
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2025-03-25 |
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r-shiny.router
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public |
It is a simple router for your Shiny apps. The router allows you to create dynamic web applications with real-time User Interface and easily share url to pages within your Shiny apps.
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2025-03-25 |
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r-shinymatrix
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public |
Implements a custom matrix input field.
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2025-03-25 |
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r-shinymaterial
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public |
Allows shiny developers to incorporate UI elements based on Google's Material design. See <https://material.io/guidelines/> for more information.
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2025-03-25 |
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r-shinylp
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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.
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2025-03-25 |
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r-shinyjqui
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public |
An extension to shiny that brings interactions and animation effects from 'jQuery UI' library.
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2025-03-25 |
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r-shiny.i18n
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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.
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2025-03-25 |
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r-shinyhelper
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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.
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2025-03-25 |
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r-shinyglide
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public |
Insert Glide JavaScript component into Shiny applications for carousel or assistant-like user interfaces.
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2025-03-25 |
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r-shinyfeedback
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public |
Easily display user feedback in Shiny apps.
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2025-03-25 |
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r-shinyeffects
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public |
Add fancy CSS effects to your 'shinydashboards' or 'shiny' apps. 100% compatible with 'shinydashboardPlus' and 'bs4Dash'.
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2025-03-25 |
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r-shinydnd
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public |
Add functionality to create drag and drop div elements in shiny.
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2025-03-25 |
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r-shinydashboardplus
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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.
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2025-03-25 |
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r-shinycustomloader
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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.
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2025-03-25 |
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r-shinybusy
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public |
Add indicators (spinner, progress bar, gif) in your 'shiny' applications to show the user that the server is busy. And other tools to let your users know something is happening (send notifications, reports, ...).
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2025-03-25 |
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r-shinybootstrap2
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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.
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2025-03-25 |
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r-shinyanimate
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public |
An extension of 'animate.css' that allows user to easily add animations to any UI element in 'shiny' app using the elements id.
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2025-03-25 |
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r-shinyalert
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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.
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2025-03-25 |
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r-shinyaframe
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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>.
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2025-03-25 |
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r-shinyace
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public |
Ace editor bindings to enable a rich text editing environment within Shiny.
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2025-03-25 |
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r-shiftsharese
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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>.
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2025-03-25 |
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r-sharpr2
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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>.
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2025-03-25 |
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r-shapefiles
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public |
Functions to read and write ESRI shapefiles.
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2025-03-25 |
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r-shapechange
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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.
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2025-03-25 |
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r-shape
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public |
Functions for plotting graphical shapes such as ellipses, circles, cylinders, arrows, ...
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2025-03-25 |
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r-shades
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public |
Functions for easily manipulating colours, creating colour scales and calculating colour distances.
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2025-03-25 |
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r-sgrsea
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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.
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2025-03-25 |
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r-sgr
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public |
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.
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2025-03-25 |
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r-sgpdata
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public |
Data sets utilized by the 'SGP' package as exemplars for users to conduct their own student growth percentiles (SGP) analyses.
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2025-03-25 |
