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r-rcur
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public |
Functions and objects for CUR matrix decomposition.
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2023-06-16 |
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r-rangemodelr
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public |
Generates expected values of species richness, with continuous or scattered ranges, for data across one or two dimensions.
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2023-06-16 |
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r-sensr
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public |
Provides methods for sensory discrimination methods; duotrio, tetrad, triangle, 2-AFC, 3-AFC, A-not A, same-different, 2-AC and degree-of-difference. This enables the calculation of d-primes, standard errors of d-primes, sample size and power computations, and comparisons of different d-primes. Methods for profile likelihood confidence intervals and plotting are included.
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2023-06-16 |
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r-seermappereast
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public |
Provides supplemental 2000 census tract boundaries for the 20 states, district and territory without Seer Registries that are east of the Mississippi river for use with the 'SeerMapper' package. The data contained in this package is derived from U.S. Census data and is in the public domain.
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2023-06-16 |
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r-seermapper2010east
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public |
Provides supplemental 2010 census tract boundary package for 20 states without Seer Registries that are east of the Mississippi river for use with the 'SeerMapper' package. The data contained in this package is derived from U.S. Census data and is in public domain.
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2023-06-16 |
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r-sbrect
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The package uses fitting axes-aligned rectangles to a time series in order to find structural breaks. The algorithm enclose the time series in a number of axes-aligned rectangles and tries to minimize their area and number. As these are conflicting aims, the user has to specify a parameter alpha in [0.0,1.0]. Values close to 0 result in more breakpoints, values close to 1 in fewer. The left edges of the rectangles are the breakpoints. The package supplies two methods, computeBreakPoints(series,alpha) which returns the indices of the break points and computeRectangles(series,alpha) which returns the rectangles. The algorithm is randomised; it uses a genetic algorithm. Therefore, the break point sequence found can be different in different executions of the method on the same data, especially when used on longer series of some thousand observations. The algorithm uses a range-tree as background data structure which makes i very fast and suited to analyse series with millions of observations. A detailed description can be found in Paul Fischer, Astrid Hilbert, Fast detection of structural breaks, Proceedings of Compstat 2014.
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2023-06-16 |
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r-sacobra
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Performs surrogate-assisted optimization for expensive black-box constrained problems.
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2023-06-16 |
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r-rpart.utils
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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-roptimizely
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public |
R package extracts optimizely test results and test information using Optimizely REST API. Only read functionality is supported for analysis and reporting.
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2023-06-16 |
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r-rmaf
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public |
Uses refined moving average filter based on the optimal and data-driven moving average lag q or smoothing spline to estimate trend and seasonal components, as well as irregularity (residuals) for univariate time series or data.
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2023-06-16 |
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r-rclinicalcodes
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R tools for integrating with the www.clinicalcodes.org web repository
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2023-06-16 |
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r-rcane
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There are different numeric optimizations which are used in order to estimate coefficients in models such as linear regression and neural networks. This package covers parameter estimation in linear regression using different methods such as batch gradient descent, stochastic gradient descent, minibatch gradient descent and coordinate descent. Kiwiel, Krzysztof C (2001) <doi:10.1007/PL00011414> Yu Nesterov (2004) <ISBN:1-4020-7553-7> Ferguson, Thomas S (1982) <doi:10.1080/01621459.1982.10477894> Zeiler, Matthew D (2012) <arXiv:1212.5701> Wright, Stephen J (2015) <arXiv:1502.04759>.
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2023-06-16 |
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r-rap
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To find the reversal association between variables.
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2023-06-16 |
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r-qrage
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Tools that create D3 JavaScript force directed graph from R. D3 JavaScript was created by Michael Bostock. See http://d3js.org/ and, more specifically for Force Directed Graph https://github.com/mbostock/d3/wiki/Force-Layout.
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2023-06-16 |
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r-protoclass
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Greedy algorithm described in Bien and Tibshirani (2011) Prototype Selection for Interpretable Classification. Annals of Applied Statistics. 5(4). 2403-2424
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2023-06-16 |
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r-spgrass6
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public |
Interpreted interface between GRASS 6+ geographical information system and R, based on starting R from within the GRASS 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 7, for which rgrass7 should be used.
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2023-06-16 |
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r-somekfwer
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This package collects some procedures controlling the Generalized Familywise Error Rate.
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2023-06-16 |
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r-seermapper2010regs
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Provides supplemental 2010 census tract boundaries of the 19 states containing Seer Registries for use with the 'SeerMapper' package. The data contained in this package is derived from U.S. 2010 Census data and is in public domain.
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2023-06-16 |
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r-sdtoolkit
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Implements algorithms to help with scenario discovery - currently only modified version of the the Patient Rule Induction Method.
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2023-06-16 |
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r-scrselect
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Contains four functions used in the DIC-tau_g procedure. SCRSELECT() and SCRSELECTRUN() uses Stochastic Search Variable Selection to select important covariates in the three hazard functions of a semi-competing risks model. These functions perform the Gibbs sampler for variable selection and a Metropolis-Hastings-Green sampler for the number of split points and parameters for the three baseline hazard function. The function SCRSELECT() returns the posterior sample of all quantities sampled in the Gibbs sampler after a burn-in period to a desired file location, while the function SCRSELECTRUN() returns posterior values of important quantities to the DIC-Tau_g procedure in a list. The function DICTAUG() returns a list containing the DIC values for the unique models visited by the DIC-Tau_g grid search. The function ReturnModel() uses SCRSELECTRUN() and DICTAUG() to return a summary of the posterior coefficient vectors for the optimal model along with saving this posterior sample to a desired path location.
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2023-06-16 |
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r-scorer2
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This package contains the functions necessary to run the SCORER 2.0 algorithm. SCORER 2.0 can be used to differentiate between parallel dimeric and trimeric coiled-coil sequence, which are the two most more frequent coiled-coil structures observed naturally. As such, SCORER 2.0 is particularly useful for researchers looking to characterize novel coiled-coil sequences. It may also be used to assist in the structural characterization of synthetic coiled-coil sequences. Also included in this package are functions that allows the user to retrain the SCORER 2.0 algorithm using user-defined training data.
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2023-06-16 |
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r-rwinsteps
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Facilitates communication between R and the Rasch modeling software Winsteps. Currently includes functions for reading and writing command files, sending them to Winsteps, reading and writing data according to command file specifications, reading output into R, and plotting various results.
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2023-06-16 |
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r-rtconnect
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Tools for analyzing sales report files of iTunes Connect.
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2023-06-16 |
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r-rpclr
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This package implements the R-PCLR (Random-Penalized Conditional Logistic Regression) algorithm for obtaining variable importance. The algorithm is applicable for the analysis of high dimensional data from matched case-control studies.
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2023-06-16 |
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r-rklout
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An interface of R to Klout API v2. It fetches Klout Score for a Twitter Username/handle in real time. Klout is a website and mobile app that uses social media analytics to rank its users according to online social influence via the "Klout Score", which is a numerical value between 1 and 100. In determining the user score, Klout measures the size of a user's social media network and correlates the content created to measure how other users interact with that content.
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2023-06-16 |
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r-riverplot
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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.
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2023-06-16 |
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r-riverload
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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.
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2023-06-16 |
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r-riskr
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public |
Computes risk measures from data, as well as performs risk management procedures.
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2023-06-16 |
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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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2023-06-16 |
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r-rgammagamma
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public |
This package implements a Gamma convolution model for background correction.
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2023-06-16 |
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r-relaxo
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Relaxed Lasso is a generalisation of the Lasso shrinkage technique for linear regression. Both variable selection and parameter estimation is achieved by regular Lasso, yet both steps do not necessarily use the same penalty parameter. The results include all standard Lasso solutions but allow often for sparser models while having similar or even slightly better predictive performance if many predictor variables are present. The package depends on the LARS package.
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2023-06-16 |
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r-regtest
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public |
Functions for unary and binary regression tests
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2023-06-16 |
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r-rcreds
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public |
Tools to write a list of credentials to an encrypted file and later read from that file into R. The goal is to have a useful alternative to including username/passwords as part of a script or even stored in the clear in a separate text file. Additional tools provided which are specific for connecting to a database.
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2023-06-16 |
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r-sprsmdl
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R functions to mine sparse models from data.
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2023-06-16 |
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r-solomon
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public |
Parentage analysis using Bayes' theorem
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2023-06-16 |
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r-sfa
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public |
Stochastic Frontier Analysis introduced by Aigner, Lovell and Schmidt (1976) and Battese and Coelli (1992, 1995).
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2023-06-16 |
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r-severity
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public |
This package contains functions for calculating severity and generating severity curves. Specifically, the simple case of the one-parameter Normal distribution (i.e., with known variance) is considered.
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2023-06-16 |
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r-seroincidence
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Translates antibody levels measured in a (cross-sectional) population sample into an estimate of the frequency with which seroconversions (infections) occur in the sampled population.
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2023-06-16 |
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r-scriptests
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Support for using .Rt (transcript) tests in the tests directory of a package. Provides more convenience and features than the standard .R/.Rout.save tests. Tests can be run under R CMD check and also interactively. Provides source.pkg() for quickly loading code, DLLs, and data from a package for use in an edit/compile/test development cycle.
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2023-06-16 |
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r-rvtdt
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Used to compute population controls weighted rare variants transmission distortion test
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2023-06-16 |
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r-runiversal
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This package contains some functions for converting R objects to Java style variables and XML. Generated Java code is interpretable by dynamic Java libraries such as Beanshell. Calling R externally and handling the Java or XML output is an other way to call R from other languages without native interfaces. For a Java implementation of this approach visit http://www.mhsatman.com/rcaller.php and http://stdioe.blogspot.com/search/label/rcaller
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2023-06-16 |
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r-rtexturemetrics
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This package contains several functions for calculation of texture metrics for Grey Level Co-occurrence matrices
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2023-06-16 |
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r-rscala
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'Scala' <http://www.scala-lang.org/> is embedded in 'R' and callbacks from 'Scala' to 'R' are available. Support is provided to write 'R' packages that access 'Scala'. After installation, please run 'rscala::scalaConfig()'. The vignette provides an update of the original paper <doi:10.18637/jss.v092.i04>.
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2023-06-16 |
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r-roughsetknowledgereduction
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Rough Sets were introduced by Zdzislaw Pawlak on his book "Rough Sets: Theoretical Aspects of Reasoning About Data". Rough Sets provide a formal method to approximate crisp sets when the set-element belonging relationship is either known or undetermined. This enables the use of Rough Sets for reasoning about incomplete or contradictory knowledge. A decision table is a prescription of the decisions to make given some conditions. Such decision tables can be reduced without losing prescription ability. This package provides the classes and methods for knowledge reduction from decision tables as presented in the chapter 7 of the aforementioned book. This package provides functions for calculating the both the discernibility matrix and the essential parts of decision tables.
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2023-06-16 |
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r-rodm
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This package implements an interface to Oracle Data Mining (ODM). It provides an ideal environment for rapid development of demos and proof of concept data mining studies. It facilitates the prototyping of vertical applications and makes ODM and the RDBMS environment easily accessible to statisticians and data analysts familiar with R but not fluent in SQL or familiar with the database environment. It also facilitates the benchmarking and testing of ODM functionality including the production of summary statistics, performance metrics and graphics. It enables the scripting and control of production data mining methodologies from a high-level environment. Oracle Data Mining (ODM) is an option of Oracle Relational Database Management System (RDBMS) Enterprise Edition (EE). It contains several data mining and data analysis algorithms for classification, prediction, regression, clustering, associations, feature selection, anomaly detection, feature extraction, and specialized analytics. It provides means for the creation, management and operational deployment of data mining models inside the database environment. For more information consult the entry for "Oracle Data Mining" in Wikipedia (en.wikipedia.org).
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2023-06-16 |
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r-rgrass7
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Interpreted interface between 'GRASS' 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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2023-06-16 |
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r-regclust
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This package clusters regression coefficients using the methods of clustering through linear regression models (CLM) (Qin and Self 2006). Maximum likelihood approach is used to infer the parameters for each cluster. Bayesian information criterion (BIC) combined with Bootstrapped maximum volume (BMV) criterion are used to determine the number of clusters.
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2023-06-16 |
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r-rdstk
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This package provides an R interface to Pete Warden's Data Science Toolkit. See www.datasciencetoolkit.org for more information. The source code for this package can be found at github.com/rtelmore/RDSTK Happy hacking!
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2023-06-16 |
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r-snpar
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contains several supplementary non-parametric statistics methods including quantile test, Cox-Stuart trend test, runs test, normal score test, kernel PDF and CDF estimation, kernel regression estimation and kernel Kolmogorov-Smirnov test.
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2023-06-16 |
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r-semmodcomp
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Conduct tests of difference in fit for mean and covariance structure models as in structural equation modeling (SEM)
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2023-06-16 |
