|
r-rkeajars
|
public |
External jars required for package RKEA.
|
2025-03-25 |
|
r-rjython
|
public |
R interface to Python via Jython allowing R to call python code.
|
2025-03-25 |
|
r-rjwsacruncher
|
public |
'JDemetra+' (<https://github.com/jdemetra/jdemetra-app>) is the seasonal adjustment software officially recommended to the members of the European Statistical System and the European System of Central Banks. Seasonal adjustment models performed with 'JDemetra+' can be stored into workspaces. 'JWSACruncher' (<https://github.com/jdemetra/jwsacruncher/releases>) is a console tool that re-estimates all the multi-processing defined in a workspace and to export the result. 'rjwsacruncher' allows to launch easily the 'JWSACruncher'.
|
2025-03-25 |
|
r-rjstat
|
public |
Read and write the 'JSON-stat' format (http://json-stat.org) to and from (lists of) R data frames. Not all features are supported, especially the extensive metadata features of 'JSON-stat'.
|
2025-03-25 |
|
r-rjsplot
|
public |
Creates interactive graphs with 'R'. It joins the data analysis power of R and the visualization libraries of JavaScript in one package.
|
2025-03-25 |
|
r-rjsdmx
|
public |
Provides functions to retrieve data and metadata from providers that disseminate data by means of SDMX web services. SDMX (Statistical Data and Metadata eXchange) is a standard that has been developed with the aim of simplifying the exchange of statistical information. More about the SDMX standard and the SDMX Web Services can be found at: <http://sdmx.org>.
|
2025-03-25 |
|
r-rjdemetra
|
public |
Interface around 'JDemetra+' (<https://github.com/jdemetra/jdemetra-app>), the seasonal adjustment software officially recommended to the members of the European Statistical System (ESS) and the European System of Central Banks. It offers full access to all options and outputs of 'JDemetra+', including the two leading seasonal adjustment methods TRAMO/SEATS+ and X-12ARIMA/X-13ARIMA-SEATS.
|
2025-03-25 |
|
r-rjazz
|
public |
This is the official 'Jazz' client. 'Jazz' is a lightweight modular data processing framework, including a web server. It provides data persistence and computation capabilities accessible from 'R' and 'Python' and also through a REST API. <https://github.com/bbvadata/Jazz> See ?rjazz::rjazz to get a 'Jazz' server.
|
2025-03-25 |
|
r-rivervis
|
public |
This R package is a flexible and efficient tool to visualise both quantitative and qualitative data from river surveys. It can be used to produce diagrams with the topological structure of the river network.
|
2025-03-25 |
|
r-riverplot
|
public |
Sankey plots are a type of diagram that is convenient to illustrate how flow of information, resources etc. separates and joins, much like observing how rivers split and merge. For example, they can be used to compare different clusterings.
|
2025-03-25 |
|
r-rivernet
|
public |
Functions for reading, analysing and plotting river networks. For this package, river networks consist of sections and nodes with associated attributes, e.g. to characterise their morphological, chemical and biological state. The package provides functions to read this data from text files, to analyse the network structure and network paths and regions consisting of sections and nodes that fulfill prescribed criteria, and to plot the river network and associated properties.
|
2025-03-25 |
|
r-riverload
|
public |
Implements several of the most popular load estimation procedures, including averaging methods, ratio estimators and regression methods. The package provides an easy-to-use tool to rapidly calculate the load for various compounds and to compare different methods. The package also supplies additional functions to easily organize and analyze the data.
|
2025-03-25 |
|
r-riverbuilder
|
public |
Generates graphs, CSV files, and coordinates related to river valleys when calling the riverbuilder() function.
|
2025-03-25 |
|
r-rismed
|
public |
A set of tools to extract bibliographic content from the National Center for Biotechnology Information (NCBI) databases, including PubMed. The name RISmed is a portmanteau of RIS (for Research Information Systems, a common tag format for bibliographic data) and PubMed.
|
2025-03-25 |
|
r-riskyr
|
public |
Risk-related information (like the prevalence of conditions and the sensitivity and specificity of diagnostic tests or treatment decisions) can be expressed in terms of probabilities or frequencies. By providing a toolbox of methods and metrics, 'riskyr' computes, translates, and visualizes risk-related information in a variety of ways. Offering multiple complementary perspectives on the interplay between key parameters renders teaching and training of risk literacy more transparent.
|
2025-03-25 |
|
r-risksetroc
|
public |
Compute time-dependent Incident/dynamic accuracy measures (ROC curve, AUC, integrated AUC )from censored survival data under proportional or non-proportional hazard assumption of Heagerty & Zheng (Biometrics, Vol 61 No 1, 2005, PP 92-105).
|
2025-03-25 |
|
r-riskr
|
public |
Computes risk measures from data, as well as performs risk management procedures.
|
2025-03-25 |
|
r-riskportfolios
|
public |
Collection of functions designed to compute risk-based portfolios as described in Ardia et al. (2017) <doi:10.1007/s10479-017-2474-7> and Ardia et al. (2017) <doi:10.21105/joss.00171>.
|
2025-03-25 |
|
r-risk
|
public |
Computes 26 financial risk measures for any continuous distribution. The 26 financial risk measures include value at risk, expected shortfall due to Artzner et al. (1999) <DOI:10.1007/s10957-011-9968-2>, tail conditional median due to Kou et al. (2013) <DOI:10.1287/moor.1120.0577>, expectiles due to Newey and Powell (1987) <DOI:10.2307/1911031>, beyond value at risk due to Longin (2001) <DOI:10.3905/jod.2001.319161>, expected proportional shortfall due to Belzunce et al. (2012) <DOI:10.1016/j.insmatheco.2012.05.003>, elementary risk measure due to Ahmadi-Javid (2012) <DOI:10.1007/s10957-011-9968-2>, omega due to Shadwick and Keating (2002), sortino ratio due to Rollinger and Hoffman (2013), kappa due to Kaplan and Knowles (2004), Wang (1998)'s <DOI:10.1080/10920277.1998.10595708> risk measures, Stone (1973)'s <DOI:10.2307/2978638> risk measures, Luce (1980)'s <DOI:10.1007/BF00135033> risk measures, Sarin (1987)'s <DOI:10.1007/BF00126387> risk measures, Bronshtein and Kurelenkova (2009)'s risk measures.
|
2025-03-25 |
|
r-rintrojs
|
public |
A wrapper for the 'Intro.js' library (For more info: <http://www.introjs.com>). This package makes it easy to include step-by-step introductions, and clickable hints in a 'Shiny' application. It supports both static introductions in the UI, and programmatic introductions from the server-side.
|
2025-03-25 |
|
r-rintervaltree
|
public |
This tool can be used to build binary interval trees using real number inputs. The tree supports queries of intervals overlapping a single number or an interval (start, end). Intervals with same bounds but different names are treated as distinct intervals. Insertion of intervals is also allowed. Deletion of intervals is not implemented at this point. See Mark de Berg, Otfried Cheong, Marc van Kreveld, Mark Overmars (2008). Computational Geometry: Algorithms and Applications, for a reference.
|
2025-03-25 |
|
r-rimpact
|
public |
The metrics() function calculates measures of scholarly impact. These include conventional measures, such as the number of publications and the total citations to all publications, as well as modern and robust metrics based on the vector of citations associated with each publication, such as the h index and many of its variants or rivals. These methods are described in Ruscio et al. (2012) <DOI: 10.1080/15366367.2012.711147>.
|
2025-03-25 |
|
r-rifs
|
public |
RIFS package provides functionality for generating & plotting prefractals in R^n with various protofractal sets and partition coefficient for iterative segments
|
2025-03-25 |
|
r-rifle
|
public |
Implements the algorithms for solving sparse generalized eigenvalue problem by Tan, et. al. (2018). Sparse Generalized Eigenvalue Problem: Optimal Statistical Rates via Truncated Rayleigh Flow. To appear in Journal of the Royal Statistical Society: Series B. <arXiv:1604.08697>.
|
2025-03-25 |
|
r-ridittools
|
public |
Functions to compute ridit scores of vectors, compute mean ridits and their standard errors for vectors compared to a reference vector, as described in Fleiss (1981, ISBN:0-471-06428-9), and compute means/SEs for multiple groups in matrices. Data can be either counts or proportions. Emphasis is on ridit analysis of ordered categorical data such as Likert items and pain-rating scales.
|
2025-03-25 |
|
r-ridit
|
public |
An extension of the Kruskal-Wallis Test that allow selection of arbitrary reference group. Also provide Mean Ridit for each group. Mean Ridit of a group is an estimate of probability a random observation from that group will be greater than or equal to a random observation from reference group.
|
2025-03-25 |
|
r-ridigbio
|
public |
An interface to iDigBio's search API that allows downloading specimen records. Searches are returned as a data.frame. Other functions such as the metadata end points return lists of information. iDigBio is a US project focused on digitizing and serving museum specimen collections on the web. See <https://www.idigbio.org> for information on iDigBio.
|
2025-03-25 |
|
r-ridgefusion
|
public |
This package implements ridge fusion methodology for inverse covariance matrix estimation for use in quadratic discriminant analysis. The package also contains function for model based clustering using ridge fusion for inverse matrix estimation, as well as tuning parameter selection functions. We have also implemented QDA using joint inverse covariance estimation.
|
2025-03-25 |
|
r-ri
|
public |
This package provides a set of tools for conducting exact or approximate randomization-based inference for experiments of arbitrary design. The primary functionality of the package is in the generation, manipulation and use of permutation matrices implied by given experimental designs. Among other features, the package facilitates estimation of average treatment effects, constant effects variance estimation, randomization inference for significance testing against sharp null hypotheses and visualization of data and results.
|
2025-03-25 |
|
r-rhymer
|
public |
Wrapper for 'Datamuse' API to find rhyming and other associated words. This includes words of similar meaning, spelling, or other related words. Learn more about the 'Datamuse' API here <http://www.datamuse.com/api/>.
|
2025-03-25 |
|
r-r.huge
|
public |
DEPRECATED. Do not start building new projects based on this package. Cross-platform alternatives are the following packages: bigmemory (CRAN), ff (CRAN), BufferedMatrix (Bioconductor). The main usage of it was inside the aroma.affymetrix package. (The package currently provides a class representing a matrix where the actual data is stored in a binary format on the local file system. This way the size limit of the data is set by the file system and not the memory.)
|
2025-03-25 |
|
r-rht
|
public |
This package offers functions to perform regularized Hotelling's T-square test for pathway or gene set analysis. The package is tailored for but not limited to proteomics data, in which sample sizes are often small, a large proportion of the data are missing and/or correlations may be present.
|
2025-03-25 |
|
r-rhpcc
|
public |
rHpcc is an R package providing an Interface between R and HPCC.Familiarity with ECL (Enterprise Control Language) is a must to use this package.HPCC is a massive parallel-processing computing platform that solves Big Data problems.ECL is the Enterprise Control Language designed specifically for huge data projects using the HPCC platform.Its extreme scalability comes from a design that allows you to leverage every query you create for re-use in subsequent queries as needed. To do this, ECL takes a dictionary approach to building queries wherein each ECL definition defines an Attribute. Each previously defined Attribute can then be used in succeeding ECL Attribute definitions as the language extends itself as you use it.
|
2025-03-25 |
|
r-rhpcbenchmark
|
public |
Microbenchmarks for determining the run time performance of aspects of the R programming environment and packages relevant to high-performance computation. The benchmarks are divided into three categories: dense matrix linear algebra kernels, sparse matrix linear algebra kernels, and machine learning functionality.
|
2025-03-25 |
|
r-rhosp
|
public |
Evaluating risk (that a patient arises a side effect) during hospitalization is the main purpose of this package. Several methods (Parametric, non parametric and De Vielder estimation) to estimate the risk constant (R) are implemented in this package. There are also functions to simulate the different models of this issue in order to quantify the previous estimators. It is necessary to read at least the first six pages of the report to understand the topic.
|
2025-03-25 |
|
r-rhor
|
public |
Rho is used to test the generalization of inter rater reliability (IRR) statistics. Calculating rho starts by generating a large number of simulated, fully-coded data sets: a sizable collection of hypothetical populations, all of which have a kappa value below a given threshold -- which indicates unacceptable agreement. Then kappa is calculated on a sample from each of those sets in the collection to see if it is equal to or higher than the kappa in then real sample. If less than five percent of the distribution of samples from the simulated data sets is greater than actual observed kappa, the null hypothesis is rejected and one can conclude that if the two raters had coded the rest of the data, we would have acceptable agreement (kappa above the threshold).
|
2025-03-25 |
|
r-rhnerm
|
public |
Performs the random heteroscedastic nested error regression model described in Kubokawa, Sugasawa, Ghosh and Chaudhuri (2016) <doi:10.5705/ss.202014.0070>.
|
2025-03-25 |
|
r-rhmc
|
public |
Implements simple Hamiltonian Monte Carlo routines in R for sampling from any desired target distribution which is continuous and smooth. See Neal (2017) <arXiv:1701.02434> for further details on Hamiltonian Monte Carlo. Automatic parameter selection is not supported.
|
2025-03-25 |
|
r-rhealthdatagov
|
public |
An R interface for the HealthData.gov data API. For each data resource, you can filter results (server-side) to select subsets of data.
|
2025-03-25 |
|
r-rhandsontable
|
public |
An R interface to the 'Handsontable' JavaScript library, which is a minimalist Excel-like data grid editor. See <https://handsontable.com/> for details.
|
2025-03-25 |
|
r-rh2
|
public |
DBI/RJDBC interface to h2 database. h2 version 1.3.175 is included.
|
2025-03-25 |
|
r-rgw
|
public |
Implementation of the affine-invariant method of Goodman & Weare (2010) <DOI:10.2140/camcos.2010.5.65>, a method of producing Monte-Carlo samples from a target distribution.
|
2025-03-25 |
|
r-rgroovy
|
public |
Integrates the Groovy scripting language with the R Project for Statistical Computing.
|
2025-03-25 |
|
r-rgrass7
|
public |
Interpreted interface between 'GRASS' 7 geographical information system and R, based on starting R from within the 'GRASS' 'GIS' environment, or running free-standing R in a temporary 'GRASS' location; the package provides facilities for using all 'GRASS' commands from the R command line. This package may not be used for 'GRASS' 6, for which 'spgrass6' should be used.
|
2025-03-25 |
|
r-rgr
|
public |
Geological Survey of Canada (GSC) functions for exploratory data analysis with applied geochemical data, with special application to the estimation of background ranges and identification of outliers, 'anomalies', to support mineral exploration and environmental studies. Additional functions are provided to support analytical data QA/QC, ANOVA for investigations of field sampling and analytical variability, and utility tasks. NOTE: function caplot() for concentration-area plots employs package 'akima', however, 'akima' is only licensed for not-for-profit use. Therefore, not-for-profit users of 'rgr' will have to independently make package 'akima' available through library(....); and use of function caplot() by for-profit users will fail.
|
2025-03-25 |
|
r-rgoogleslides
|
public |
Previously, when one is working with in the Google Ecosystem (Using Google Drive etc), there is hardly any good workflow of getting the values calculated from R and getting that into Google Slides. The normal and easy way out would be to just copy your work over but when you have a number of analysis to present with a lot of changes between each environment, it just becomes quite cumbersome.
|
2025-03-25 |
|
r-rgooglemaps
|
public |
Serves two purposes: (i) Provide a comfortable R interface to query the Google server for static maps, and (ii) Use the map as a background image to overlay plots within R. This requires proper coordinate scaling.
|
2025-03-25 |
|
r-rgooglefit
|
public |
Provides interface to Google Fit REST API v1 (see <https://developers.google.com/fit/rest/v1/reference/>).
|
2025-03-25 |
|
r-rgoogleanalyticspremium
|
public |
It fires a query to the API to get the unsampled data in R for Google Analytics Premium Accounts. It retrieves data from the Google drive document and stores it into the local drive. The path to the excel file is returned by this package. The user can read data from the excel file into R using read.csv() function.
|
2025-03-25 |
|
r-rgoogleanalytics
|
public |
Provides functions for accessing and retrieving data from the Google Analytics API.
|
2025-03-25 |
