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r-ridit
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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.
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2025-04-22 |
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r-ridigbio
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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.
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2025-04-22 |
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r-ridgefusion
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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.
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2025-04-22 |
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r-ri
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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.
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2025-04-22 |
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r-rhymer
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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/>.
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2025-04-22 |
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r-r.huge
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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.)
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2025-04-22 |
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r-rht
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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.
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2025-04-22 |
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r-rhpcc
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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.
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2025-04-22 |
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r-rhpcbenchmark
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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.
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2025-04-22 |
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r-rhosp
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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.
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2025-04-22 |
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r-rhor
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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).
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2025-04-22 |
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r-rhnerm
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Performs the random heteroscedastic nested error regression model described in Kubokawa, Sugasawa, Ghosh and Chaudhuri (2016) <doi:10.5705/ss.202014.0070>.
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2025-04-22 |
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r-rhmc
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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.
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2025-04-22 |
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r-rhealthdatagov
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An R interface for the HealthData.gov data API. For each data resource, you can filter results (server-side) to select subsets of data.
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2025-04-22 |
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r-rhandsontable
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An R interface to the 'Handsontable' JavaScript library, which is a minimalist Excel-like data grid editor. See <https://handsontable.com/> for details.
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2025-04-22 |
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r-rh2
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DBI/RJDBC interface to h2 database. h2 version 1.3.175 is included.
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2025-04-22 |
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r-rgw
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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.
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2025-04-22 |
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r-rgroovy
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Integrates the Groovy scripting language with the R Project for Statistical Computing.
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2025-04-22 |
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r-rgrass7
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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.
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2025-04-22 |
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r-rgr
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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.
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2025-04-22 |
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r-rgoogleslides
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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.
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2025-04-22 |
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r-rgooglemaps
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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.
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2025-04-22 |
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r-rgooglefit
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Provides interface to Google Fit REST API v1 (see <https://developers.google.com/fit/rest/v1/reference/>).
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2025-04-22 |
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r-rgoogleanalyticspremium
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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.
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2025-04-22 |
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r-rgoogleanalytics
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Provides functions for accessing and retrieving data from the Google Analytics API.
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2025-04-22 |
