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r-rwishart
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public |
An expansion of R's 'stats' random wishart matrix generation. This package allows the user to generate singular, Uhlig and Harald (1994) <doi:10.1214/aos/1176325375>, and pseudo wishart, Diaz-Garcia, et al.(1997) <doi:10.1006/jmva.1997.1689>, matrices. In addition the user can generate wishart matrices with fractional degrees of freedom, Adhikari (2008) <doi:10.1061/(ASCE)0733-9399(2008)134:12(1029)>, commonly used in volatility modeling. Users can also use this package to create random covariance matrices.
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2023-06-16 |
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r-rwc
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public |
Code to facilitate simulation and inference when connectivity is defined by underlying random walks. Methods for spatially-correlated pairwise distance data are especially considered. This provides core code to conduct analyses similar to that in Hanks and Hooten (2013) <doi:10.1080/01621459.2012.724647>.
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2023-06-16 |
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r-runit
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public |
R functions implementing a standard Unit Testing framework, with additional code inspection and report generation tools.
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2023-06-16 |
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r-rtaxometrics
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We provide functions to perform taxometric analyses. This package contains 44 functions, but only 5 should be called directly by users. CheckData() should be run prior to any taxometric analysis to ensure that the data are appropriate for taxometric analysis. RunTaxometrics() performs taxometric analyses for a sample of data. RunCCFIProfile() performs a series of taxometric analyses to generate a CCFI profile. CreateData() generates a sample of categorical or dimensional data. ClassifyCases() assigns cases to groups using the base-rate classification method.
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2023-06-16 |
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r-rstatscn
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public |
R interface for china national data <http://data.stats.gov.cn/>, some convenient functions for accessing the national data are provided.
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2023-06-16 |
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r-rrscale
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public |
Non-linear transformations of data to better discover latent effects. Applies a sequence of three transformations (1) a Gaussianizing transformation, (2) a Z-score transformation, and (3) an outlier removal transformation.
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2023-06-16 |
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r-rrreg
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Univariate and multivariate methods to analyze randomized response (RR) survey designs (e.g., Warner, S. L. (1965). Randomized response: A survey technique for eliminating evasive answer bias. Journal of the American Statistical Association, 60, 63–69, <doi:10.2307/2283137>). Besides univariate estimates of true proportions, RR variables can be used for correlations, as dependent variable in a logistic regression (with or without random effects), or as predictors in a linear regression (Heck, D. W., & Moshagen, M. (2018). RRreg: An R package for correlation and regression analyses of randomized response data. Journal of Statistical Software, 85(2), 1–29, <doi:10.18637/jss.v085.i02>). For simulations and the estimation of statistical power, RR data can be generated according to several models. The implemented methods also allow to test the link between continuous covariates and dishonesty in cheating paradigms such as the coin-toss or dice-roll task (Moshagen, M., & Hilbig, B. E. (2017). The statistical analysis of cheating paradigms. Behavior Research Methods, 49, 724–732, <doi:10.3758/s13428-016-0729-x>).
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2023-06-16 |
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r-rpushbullet
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public |
An R interface to the Pushbullet messaging service which provides fast and efficient notifications (and file transfer) between computers, phones and tablets. An account has to be registered at the site <http://www.pushbullet.com> site to obtain a (free) API key.
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2023-06-16 |
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r-rpensemble
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public |
Implements the methodology of "Cannings, T. I. and Samworth, R. J. (2017) Random-projection ensemble classification, J. Roy. Stat. Soc., Ser. B. (with discussion), 79, 959--1035". The random projection ensemble classifier is a general method for classification of high-dimensional data, based on careful combination of the results of applying an arbitrary base classifier to random projections of the feature vectors into a lower-dimensional space. The random projections are divided into non-overlapping blocks, and within each block the projection yielding the smallest estimate of the test error is selected. The random projection ensemble classifier then aggregates the results of applying the base classifier on the selected projections, with a data-driven voting threshold to determine the final assignment.
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2023-06-16 |
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r-rpart.utils
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public |
This package contains additional tools for working with rpart objects. Most importantly, it includes methods for converting rpart rules into a series of structured tables sufficient for executing the decision tree completely in SQL.
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2023-06-16 |
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r-ropensecretsapi
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public |
An R package for the OpenSecrets.org web services API.
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2023-06-16 |
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r-ropendata
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public |
'Rapid7' collects 'cybersecurity' data and makes it available via their 'Open Data' <http://opendata.rapid7.com> portal which has an API. Tools are provided to assist in querying for available data sets and downloading any data set authorized to a free, registered account.
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2023-06-16 |
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r-rollbar
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Reports errors and messages to Rollbar, the error tracking platform <https://rollbar.com>.
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2023-06-16 |
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r-robustx
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Robustness -- 'eXperimental', 'eXtraneous', or 'eXtraordinary' Functionality for Robust Statistics. In other words, methods which are not yet well established, often related to methods in package 'robustbase'.
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2023-06-16 |
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r-rmediation
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We provide functions to compute confidence intervals (CIs) for a well-defined nonlinear function of the model parameters (e.g., product of k coefficients) in single--level and multilevel structural equation models.
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2023-06-16 |
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r-rmdfiltr
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public |
A collection of 'Lua' filters that extend the functionality of R Markdown templates (e.g., count words or post-process 'pandoc-citeproc'- citations).
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2023-06-16 |
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r-rlakeanalyzer
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public |
Standardized methods for calculating common important derived physical features of lakes including water density based based on temperature, thermal layers, thermocline depth, lake number, Wedderburn number, Schmidt stability and others.
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2023-06-16 |
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r-rkeeldata
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'KEEL' is a popular Java software for a large number of different knowledge data discovery tasks. Furthermore, 'RKEEL' is a package with a R code layer between R and 'KEEL', for using 'KEEL' in R code. This package includes the datasets from 'KEEL' in .dat format for its use in 'RKEEL' package. For more information about 'KEEL', see <http://www.keel.es/>.
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2023-06-16 |
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r-riverbuilder
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public |
Generates graphs, CSV files, and coordinates related to river valleys when calling the riverbuilder() function.
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2023-06-16 |
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r-rhpcc
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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.
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2023-06-16 |
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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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2023-06-16 |
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r-rgoogleanalyticspremium
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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.
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2023-06-16 |
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r-rga
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Provides functions for accessing and retrieving data from the Google Analytics APIs (https://developers.google.com/analytics/). Supports OAuth 2.0 authorization. Package provides access to the Management, Core Reporting, Multi-Channel Funnels Reporting, Real Time Reporting and Metadata APIs. Access to all the Google Analytics accounts which the user has access to. Auto-pagination to return more than 10,000 rows of the results by combining multiple data requests. Also package provides shiny app to explore the core reporting API dimensions and metrics.
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2023-06-16 |
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r-reservoir
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Measure single-storage water supply system performance using resilience, reliability, and vulnerability metrics; assess storage-yield-reliability relationships; determine no-fail storage with sequent peak analysis; optimize release decisions for water supply, hydropower, and multi-objective reservoirs using deterministic and stochastic dynamic programming; generate inflow replicates using parametric and non-parametric models; evaluate inflow persistence using the Hurst coefficient.
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2023-06-16 |
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r-relimp
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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.
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2023-06-16 |
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r-regressionfactory
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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.
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2023-06-16 |
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r-regexselect
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public |
'shiny' extension that adds regular expression filtering capabilities to the choice vector of the select list.
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2023-06-16 |
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r-recombinator
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public |
Turns nested lists into data.frames in an orderly manner.
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2023-06-16 |
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r-rdocumentation
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public |
Wraps around the default help functionality in R. Instead of plain documentation files, documentation will show up as it does on <https://www.rdocumentation.org>, a platform that shows R documentation from 'CRAN', 'GitHub' and 'Bioconductor', together with informative stats to assess the package quality.
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2023-06-16 |
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r-rdidq
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public |
The package has many function that helps to perform various quality check on the data.It basically provides many function that helps in performing Extrapolative data analysis.
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2023-06-16 |
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r-rdbnomics
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R access to hundreds of millions data series from DBnomics API (<https://db.nomics.world/>).
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2023-06-16 |
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r-rd2roxygen
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public |
Functions to convert Rd to 'roxygen' documentation. It can parse an Rd file to a list, create the 'roxygen' documentation and update the original R script (e.g. the one containing the definition of the function) accordingly. This package also provides utilities that can help developers build packages using 'roxygen' more easily. The 'formatR' package can be used to reformat the R code in the examples sections so that the code will be more readable.
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2023-06-16 |
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r-rcube
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public |
Provides simplified methods for managing classic Rubik's cubes and many other modifications of it (such as NxNxN size cubes, void cubes and 8-coloured cubes - so called octa cubes). Includes functions of handling special syntax for managing such cubes; and different approach to plotting 3D cubes without using external libraries (for example 'OpenGL').
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2023-06-16 |
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r-rchoicedialogs
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Collection of portable choice dialog widgets
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2023-06-16 |
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r-r.blip
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Allows the user to learn Bayesian networks from datasets containing thousands of variables. It focuses on score-based learning, mainly the 'BIC' and the 'BDeu' score functions. It provides state-of-the-art algorithms for the following tasks: (1) parent set identification - Mauro Scanagatta (2015) <http://papers.nips.cc/paper/5803-learning-bayesian-networks-with-thousands-of-variables>; (2) general structure optimization - Mauro Scanagatta (2018) <doi:10.1007/s10994-018-5701-9>, Mauro Scanagatta (2018) <http://proceedings.mlr.press/v73/scanagatta17a.html>; (3) bounded treewidth structure optimization - Mauro Scanagatta (2016) <http://papers.nips.cc/paper/6232-learning-treewidth-bounded-bayesian-networks-with-thousands-of-variables>; (4) structure learning on incomplete data sets - Mauro Scanagatta (2018) <doi:10.1016/j.ijar.2018.02.004>. Distributed under the LGPL-3 by IDSIA.
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2023-06-16 |
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r-randmeta
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public |
A novel numerical algorithm that provides functionality for estimating the exact 95% confidence interval of the location parameter in the random effects model, and is much faster than the naive method. Works best when the number of studies is between 6-20.
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2023-06-16 |
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r-randgeo
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public |
Generate random positions (latitude/longitude), Well-known text ('WKT') points or polygons, or 'GeoJSON' points or polygons.
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2023-06-16 |
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r-ramble
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public |
Parser generator for R using combinatory parsers. It is inspired by combinatory parsers developed in Haskell.
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2023-06-16 |
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r-r2html
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public |
Includes HTML function and methods to write in an HTML file. Thus, making HTML reports is easy. Includes a function that allows redirection on the fly, which appears to be very useful for teaching purpose, as the student can keep a copy of the produced output to keep all that he did during the course. Package comes with a vignette describing how to write HTML reports for statistical analysis. Finally, a driver for 'Sweave' allows to parse HTML flat files containing R code and to automatically write the corresponding outputs (tables and graphs).
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2023-06-16 |
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r-quantpsyc
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public |
Contains functions useful for data screening, testing moderation, mediation and estimating power.
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2023-06-16 |
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r-pxweb
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public |
Generic interface for the PX-Web/PC-Axis API. The PX-Web/PC-Axis API is used by organizations such as Statistics Sweden and Statistics Finland to disseminate data. The R package can interact with all PX-Web/PC-Axis APIs to fetch information about the data hierarchy, extract metadata and extract and parse statistics to R data.frame format. PX-Web is a solution to disseminate PC-Axis data files in dynamic tables on the web. Since 2013 PX-Web contains an API to disseminate PC-Axis files.
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2023-06-16 |
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r-pwr2
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User friendly functions for power and sample size analysis at one-way and two-way ANOVA settings take either effect size or delta and sigma as arguments. They are designed for both one-way and two-way ANOVA settings. In addition, a function for plotting power curves is available for power comparison, which can be easily visualized by statisticians and clinical researchers.
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2023-06-16 |
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r-pvclust
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An implementation of multiscale bootstrap resampling for assessing the uncertainty in hierarchical cluster analysis. It provides AU (approximately unbiased) p-value as well as BP (bootstrap probability) value for each cluster in a dendrogram.
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2023-06-16 |
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r-psi
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public |
This package contains functions to calculate the Specificity Index statistic, which can be used for comparative quantitative analysis to identify genes enriched in specific cell populations across a large number of profiles, as well as perform numerous post-processing operations. NOTE:Supplementary data (human & mouse expression sets, calculated pSI datasets, etc.) can be found in pSI.data package located at the following URL: http://genetics.wustl.edu/jdlab/psi_package/
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2023-06-16 |
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r-predictiveregression
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Three prediction algorithms described in the paper "On-line predictive linear regression" Annals of Statistics 37, 1566 - 1590 (2009)
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2023-06-16 |
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r-prediction
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A one-function package containing 'prediction()', a type-safe alternative to 'predict()' that always returns a data frame. The 'summary()' method provides a data frame with average predictions, possibly over counterfactual versions of the data (a la the 'margins' command in 'Stata'). Marginal effect estimation is provided by the related package, 'margins' <https://cran.r-project.org/package=margins>. The package currently supports common model types (e.g., "lm", "glm") from the 'stats' package, as well as numerous other model classes from other add-on packages. See the README or main package documentation page for a complete listing.
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2023-06-16 |
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r-pmml
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The Predictive Model Markup Language (PMML) is an XML-based language which provides a way for applications to define machine learning, statistical and data mining models and to share models between PMML compliant applications. More information about the PMML industry standard and the Data Mining Group can be found at <http://www.dmg.org>. The generated PMML can be imported into any PMML consuming application, such as Zementis Predictive Analytics products, which integrate with web services, relational database systems and deploy natively on Hadoop in conjunction with Hive, Spark or Storm, as well as allow predictive analytics to be executed for IBM z Systems mainframe applications and real-time, streaming analytics platforms. The package isofor (used for anomaly detection) can be installed with devtools::install_github("Zelazny7/isofor").
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2023-06-16 |
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r-pinp
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A 'PNAS'-alike style for 'rmarkdown', derived from the 'Proceedings of the National Academy of Sciences of the United States of America' ('PNAS', see <https://www.pnas.org>) 'LaTeX' style, and adapted for use with 'markdown' and 'pandoc'.
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2023-06-16 |
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r-permalgo
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This version of the permutational algorithm generates a dataset in which event and censoring times are conditional on an user-specified list of covariates, some or all of which are time-dependent.
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2023-06-16 |
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r-pcfam
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We provide several algorithms to compute the genotype ancestry scores (such as eigenvector projections) in the case where highly correlated individuals are involved.
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2023-06-16 |
