|
r-repmis
|
public |
Tools to load 'R' packages and automatically generate BibTeX files citing them as well as load and cache plain-text and 'Excel' formatted data stored on 'GitHub', and from other sources.
|
2024-01-16 |
|
r-repogenerator
|
public |
Generates a project and repo for easy initialization of a GitHub repo for R workshops. The repo includes a README with instructions to ensure that all users have the needed packages, an 'RStudio' project with the right directories and the proper data. The repo can then be used for hosting code taught during the workshop.
|
2024-01-16 |
|
r-repo
|
public |
A data manager meant to avoid manual storage/retrieval of data to/from the file system. It builds one (or more) centralized repository where R objects are stored with rich annotations, including corresponding code chunks, and easily searched and retrieved. See Napolitano (2017) <doi:10.1037/a0028240> for further information.
|
2024-01-16 |
|
r-repec
|
public |
Utilities for accessing RePEc (Research Papers in Economics) through a RESTful API. You can request a code and get detailed information at the following page: <https://ideas.repec.org/api.html>.
|
2024-01-16 |
|
r-repeatedhighdim
|
public |
A toolkit for the analysis of high-dimensional repeated measurements, providing functions for outlier detection, differential expression analysis, gene-set tests, and binary random data generation.
|
2024-01-16 |
|
r-renv
|
public |
A dependency management toolkit for R. Using 'renv', you can create and manage project-local R libraries, save the state of these libraries to a 'lockfile', and later restore your library as required. Together, these tools can help make your projects more isolated, portable, and reproducible.
|
2024-01-16 |
|
r-rentrez
|
public |
Provides an R interface to the NCBI's 'EUtils' API, allowing users to search databases like 'GenBank' <https://www.ncbi.nlm.nih.gov/genbank/> and 'PubMed' <https://pubmed.ncbi.nlm.nih.gov/>, process the results of those searches and pull data into their R sessions.
|
2024-01-16 |
|
r-renpow
|
public |
Supports calculations and visualization for renewable power systems and the environment. Analysis and graphical tools for DC and AC circuits and their use in electric power systems. Analysis and graphical tools for thermodynamic cycles and heat engines, supporting efficiency calculations in coal-fired power plants, gas-fired power plants. Calculations of carbon emissions and atmospheric CO2 dynamics. Analysis of power flow and demand for the grid, as well as power models for microgrids and off-grid systems. Provides resource and power generation for hydro power, wind power, and solar power.
|
2024-01-16 |
|
r-reldist
|
public |
Tools for the comparison of distributions. This includes nonparametric estimation of the relative distribution PDF and CDF and numerical summaries as described in "Relative Distribution Methods in the Social Sciences" by Mark S. Handcock and Martina Morris, Springer-Verlag, 1999, Springer-Verlag, ISBN 0387987789.
|
2024-01-16 |
|
r-remotes
|
public |
Download and install R packages stored in 'GitHub', 'GitLab', 'Bitbucket', 'Bioconductor', or plain 'subversion' or 'git' repositories. This package provides the 'install_*' functions in 'devtools'. Indeed most of the code was copied over from 'devtools'.
|
2024-01-16 |
|
r-relations
|
public |
Data structures and algorithms for k-ary relations with arbitrary domains, featuring relational algebra, predicate functions, and fitters for consensus relations.
|
2024-01-16 |
|
r-remindr
|
public |
Insert/extract text "reminders" into/from function source code comments or as the "comment" attribute of any object. The former can be handy in development as reminders of e.g. argument requirements, expected objects in the calling environment, required options settings, etc. The latter can be used to provide information of the object and as simple manual "tooltips" for users, among other things.
|
2024-01-16 |
|
r-relaimpo
|
public |
Provides several metrics for assessing relative importance in linear models. These can be printed, plotted and bootstrapped. The recommended metric is lmg, which provides a decomposition of the model explained variance into non-negative contributions. There is a version of this package available that additionally provides a new and also recommended metric called pmvd. If you are a non-US user, you can download this extended version from Ulrike Groempings web site.
|
2024-01-16 |
|
r-rematch2
|
public |
Wrappers on 'regexpr' and 'gregexpr' to return the match results in tidy data frames.
|
2024-01-16 |
|
r-rematch
|
public |
A small wrapper on 'regexpr' to extract the matches and captured groups from the match of a regular expression to a character vector.
|
2024-01-16 |
|
r-relimp
|
public |
Functions to facilitate inference on the relative importance of predictors in a linear or generalized linear model, and a couple of useful Tcl/Tk widgets.
|
2024-01-16 |
|
r-regplot
|
public |
A function to plot a regression nomogram of regression objects. Covariate distributions are superimposed on nomogram scales and the plot can be animated to allow on-the-fly changes to distribution representation and to enable outcome calculation.
|
2024-01-16 |
|
r-regions
|
public |
Validating sub-national statistical typologies, re-coding across standard typologies of sub-national statistics, and making valid aggregate level imputation, re-aggregation, re-weighting and projection down to lower hierarchical levels to create meaningful data panels and time series.
|
2024-01-16 |
|
r-relatable
|
public |
Functions to safely map from a vector of keys to a vector of values, determine properties of a given relation, or ensure a relation conforms to a given type, such as many-to-many, one-to-many, injective, surjective, or bijective. Permits default return values for use similar to a vectorised switch statement, as well as safely handling large vectors, NAs, and duplicate mappings.
|
2024-01-16 |
|
r-reinstallr
|
public |
Search R files for not installed packages and run install.packages.
|
2024-01-16 |
|
r-rehh.data
|
public |
Contains example data for the 'rehh' package.
|
2024-01-16 |
|
r-regsubseq
|
public |
For a sequence of event occurence times, we are interested in finding subsequences in it that are too "regular". We define regular as being significantly different from a homogeneous Poisson process. The departure from the Poisson process is measured using a L1 distance. See Di and Perlman 2007 for more details.
|
2024-01-16 |
|
r-regspec
|
public |
Computes linear Bayesian spectral estimates from multirate data for second-order stationary time series. Provides credible intervals and methods for plotting various spectral estimates. Please see the paper `Should we sample a time series more frequently?' (doi below) for a full description of and motivation for the methodology.
|
2024-01-16 |
|
r-reghelper
|
public |
A set of functions used to automate commonly used methods in regression analysis. This includes plotting interactions, and calculating simple slopes, standardized coefficients, regions of significance (Johnson & Neyman, 1936; cf. Spiller et al., 2012), etc. See the reghelper documentation for more information, documentation, and examples.
|
2024-01-16 |
|
r-regressionfactory
|
public |
The expander functions rely on the mathematics developed for the Hessian-definiteness invariance theorem for linear projection transformations of variables, described in authors' paper, to generate the full, high-dimensional gradient and Hessian from the lower-dimensional derivative objects. This greatly relieves the computational burden of generating the regression-function derivatives, which in turn can be fed into any optimization routine that utilizes such derivatives. The theorem guarantees that Hessian definiteness is preserved, meaning that reasoning about this property can be performed in the low-dimensional space of the base distribution. This is often a much easier task than its equivalent in the full, high-dimensional space. Definiteness of Hessian can be useful in selecting optimization/sampling algorithms such as Newton-Raphson optimization or its sampling equivalent, the Stochastic Newton Sampler. Finally, in addition to being a computational tool, the regression expansion framework is of conceptual value by offering new opportunities to generate novel regression problems.
|
2024-01-16 |
|
r-regress
|
public |
Functions to fit Gaussian linear model by maximising the residual log likelihood where the covariance structure can be written as a linear combination of known matrices. Can be used for multivariate models and random effects models. Easy straight forward manner to specify random effects models, including random interactions. Code now optimised to use Sherman Morrison Woodbury identities for matrix inversion in random effects models. We've added the ability to fit models using any kernel as well as a function to return the mean and covariance of random effects conditional on the data (best linear unbiased predictors, BLUPs). Clifford and McCullagh (2006) <https://www.r-project.org/doc/Rnews/Rnews_2006-2.pdf>.
|
2024-01-16 |
|
r-redoc
|
public |
A collection of 'HTML', 'JavaScript', 'CSS' and fonts assets that generate 'Redoc' documentation from an 'OpenAPI' Specification: <https://redoc.ly/redoc/>.
|
2024-01-16 |
|
r-registry
|
None |
Provides a generic infrastructure for creating and using registries.
|
2024-01-16 |
|
r-regclass
|
public |
Contains basic tools for visualizing, interpreting, and building regression models. It has been designed for use with the book Introduction to Regression and Modeling with R by Adam Petrie, Cognella Publishers, ISBN: 978-1-63189-250-9 <https://titles.cognella.com/introduction-to-regression-and-modeling-with-r-9781631892509>.
|
2024-01-16 |
|
r-refund
|
public |
Methods for regression for functional data, including function-on-scalar, scalar-on-function, and function-on-function regression. Some of the functions are applicable to image data.
|
2024-01-16 |
|
r-regexselect
|
public |
'shiny' extension that adds regular expression filtering capabilities to the choice vector of the select list.
|
2024-01-16 |
|
r-regexpipes
|
public |
Provides wrappers around base::grep() where the first argument is standardized to take the data object. This makes it less of a pain to use regular expressions with 'magrittr' or other pipe operators.
|
2024-01-16 |
|
r-regent
|
public |
Produces population distribution of disease risk and statistical risk categories, and predicts risks for individuals with genotype information.
|
2024-01-16 |
|
r-redcapapi
|
public |
Access data stored in 'REDCap' databases using the Application Programming Interface (API). 'REDCap' (Research Electronic Data CAPture; <https://projectredcap.org>, Harris, et al. (2009) <doi:10.1016/j.jbi.2008.08.010>, Harris, et al. (2019) <doi:10.1016/j.jbi.2019.103208>) is a web application for building and managing online surveys and databases developed at Vanderbilt University. The API allows users to access data and project meta data (such as the data dictionary) from the web programmatically. The 'redcapAPI' package facilitates the process of accessing data with options to prepare an analysis-ready data set consistent with the definitions in a database's data dictionary.
|
2024-01-16 |
|
r-refset
|
public |
Provides subsets with reference semantics, i.e. subsets which automatically reflect changes in the original object, and which optionally update the original object when they are changed.
|
2024-01-16 |
|
r-refmanager
|
public |
Provides tools for importing and working with bibliographic references. It greatly enhances the 'bibentry' class by providing a class 'BibEntry' which stores 'BibTeX' and 'BibLaTeX' references, supports 'UTF-8' encoding, and can be easily searched by any field, by date ranges, and by various formats for name lists (author by last names, translator by full names, etc.). Entries can be updated, combined, sorted, printed in a number of styles, and exported. 'BibTeX' and 'BibLaTeX' '.bib' files can be read into 'R' and converted to 'BibEntry' objects. Interfaces to 'NCBI Entrez', 'CrossRef', and 'Zotero' are provided for importing references and references can be created from locally stored 'PDF' files using 'Poppler'. Includes functions for citing and generating a bibliography with hyperlinks for documents prepared with 'RMarkdown' or 'RHTML'.
|
2024-01-16 |
|
r-reemtree
|
public |
A data mining approach for longitudinal and clustered data, which combines the structure of mixed effects model with tree-based estimation methods. See Sela, R.J. and Simonoff, J.S. (2012) RE-EM trees: a data mining approach for longitudinal and clustered data <doi:10.1007/s10994-011-5258-3>.
|
2024-01-16 |
|
r-redditextractor
|
public |
A collection of tools for extracting structured data from <https://www.reddit.com/>.
|
2024-01-16 |
|
r-redmonder
|
public |
Provide color schemes for maps (and other graphics) based on the color palettes of several Microsoft(r) products. Forked from 'RColorBrewer' v1.1-2.
|
2024-01-16 |
|
r-redcapr
|
public |
Encapsulates functions to streamline calls from R to the REDCap API. REDCap (Research Electronic Data CAPture) is a web application for building and managing online surveys and databases developed at Vanderbilt University. The Application Programming Interface (API) offers an avenue to access and modify data programmatically, improving the capacity for literate and reproducible programming.
|
2024-01-16 |
|
r-recommenderlab
|
public |
Provides a research infrastructure to develop and evaluate collaborative filtering recommender algorithms. This includes a sparse representation for user-item matrices, many popular algorithms, top-N recommendations, and cross-validation. Hahsler (2022) <doi:10.48550/arXiv.2205.12371>.
|
2024-01-16 |
|
r-redas
|
public |
Provides functions used in the 'R: Einführung durch angewandte Statistik' (second edition).
|
2024-01-16 |
|
r-records
|
public |
Functions for generating k-record values and k-record times
|
2024-01-16 |
|
r-recorder
|
public |
A lightweight toolkit to validate new observations when computing their predictions with a predictive model. The validation process consists of two steps: (1) record relevant statistics and meta data of the variables in the original training data for the predictive model and (2) use these data to run a set of basic validation tests on the new set of observations.
|
2024-01-16 |
|
r-recombinator
|
public |
Turns nested lists into data.frames in an orderly manner.
|
2024-01-16 |
|
r-rebird
|
public |
A programmatic client for the eBird database (<https://ebird.org/home>), including functions for searching for bird observations by geographic location (latitude, longitude), eBird hotspots, location identifiers, by notable sightings, by region, and by taxonomic name.
|
2024-01-16 |
|
r-recipes
|
public |
A recipe prepares your data for modeling. We provide an extensible framework for pipeable sequences of feature engineering steps provides preprocessing tools to be applied to data. Statistical parameters for the steps can be estimated from an initial data set and then applied to other data sets. The resulting processed output can then be used as inputs for statistical or machine learning models.
|
2024-01-16 |
|
r-rebayes
|
public |
Kiefer-Wolfowitz maximum likelihood estimation for mixture models and some other density estimation and regression methods based on convex optimization. See Koenker and Gu (2017) REBayes: An R Package for Empirical Bayes Mixture Methods, Journal of Statistical Software, 82, 1--26, <DOI:10.18637/jss.v082.i08>.
|
2024-01-16 |
|
r-rechonest
|
public |
The 'Echo nest' <http://the.echonest.com> is the industry's leading music intelligence company, providing developer with deepest understanding of music content and music fans. This package can be used to access artist's data including songs, blogs, news, reviews etc. Song's data including audio summary, style, danceability, tempo etc can also be accessed.
|
2024-01-16 |
|
r-reca
|
public |
Relevant Component Analysis (RCA) tries to find a linear transformation of the feature space such that the effect of irrelevant variability is reduced in the transformed space.
|
2024-01-16 |
