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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-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-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-rsurrogate
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Provides functions to estimate the proportion of treatment effect on the primary outcome that is explained by the treatment effect on the surrogate marker.
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2023-06-16 |
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r-rstata
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A simple R -> Stata interface allowing the user to execute Stata commands (both inline and from a .do file) from R.
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2023-06-16 |
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r-rskey
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Create custom keyboard shortcuts to examine code selected in the 'Rstudio' editor. F3 can for example yield 'str(selection)' and F7 open the source code of CRAN and base package functions on 'github'.
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2023-06-16 |
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r-rsitecatalyst
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Functions for interacting with the Adobe Analytics API V1.4 (<https://api.omniture.com/admin/1.4/rest/>).
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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()'.
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2023-06-16 |
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r-rprintf
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Provides a set of functions to facilitate building formatted strings under various replacement rules: C-style formatting, variable-based formatting, and number-based formatting. C-style formatting is basically identical to built-in function 'sprintf'. Variable-based formatting allows users to put variable names in a formatted string which will be replaced by variable values. Number-based formatting allows users to use index numbers to represent the corresponding argument value to appear in the string.
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2023-06-16 |
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r-rplotengine
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Generate basic charts either by custom applications, or from a small script launched from the system console, or within the R console. Two ASCII text files are necessary: (1) The graph parameters file, which name is passed to the function 'rplotengine()'. The user can specify the titles, choose the type of the graph, graph output formats (e.g. png, eps), proportion of the X-axis and Y-axis, position of the legend, whether to show or not a grid at the background, etc. (2) The data to be plotted, which name is specified as a parameter ('data_filename') in the previous file. This data file has a tabulated format, with a single character (e.g. tab) between each column, and a headers line located in the first row. Optionally, the file could include data columns for showing confidence intervals.
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2023-06-16 |
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r-rpipedrive
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R interaction with 'pipedrive.com API'. All functions were created and documented according to <https://developers.pipedrive.com/docs/api/v1/>. Created with the objective of offering integration and even the development of 'APIs'. Making possible to create workflows and easily downloading databases for analysis.
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2023-06-16 |
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r-rop
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Trees Classification and Regression using multivariate nodes calculated by an exhaustive numerical approach. We propose a new concept of decision tree, including multivariate knots and non hierarchical pathway. This package's model uses a multivariate nodes tree that calculates directly a risk score for each observation for the state Y observed. Nguyen JM, Gaultier A, Antonioli D (2015) <doi:10.1016/j.respe.2018.03.088> Castillo JM, Knol AC, Nguyen JM, Khammari A, Saint Jean M, Dreno B (2016) <doi:10.1684/ejd.2016.2826> Vildy S, Nguyen JM, Gaultier A, Khammari A, Dreno B (2017) <doi:10.1684/ejd.2016.2955> Nguyen JM, Gaultier A, Antonioli D (2018) <doi:10.1016/j.respe.2018.03.088>.
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2023-06-16 |
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r-rlinkedin
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A series of functions that allow users to access the 'LinkedIn' API to get information about connections, search for people and jobs, share updates with their network, and create group discussions. For more information about using the API please visit <https://developer.linkedin.com/>.
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2023-06-16 |
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r-rjsdmx
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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>.
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2023-06-16 |
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r-rfml
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Functionality required to efficiently use R with MarkLogic NoSQL Database Server, <http://www.marklogic.com/what-is-marklogic/>. Many basic and complex R operations are pushed down into the database, which removes the main memory boundary of R and allows to make full use of MarkLogic server. In order to use the package you need a MarkLogic Server version 8 or higher.
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2023-06-16 |
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r-retrodesign
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Provides tools for working with Type S (Sign) and Type M (Magnitude) errors, as proposed in Gelman and Tuerlinckx (2000) <doi.org/10.1007/s001800000040> and Gelman & Carlin (2014) <doi.org/10.1177/1745691614551642>. In addition to simply calculating the probability of Type S/M error, the package includes functions for calculating these errors across a variety of effect sizes for comparison, and recommended sample size given "tolerances" for Type S/M errors. To improve the speed of these calculations, closed forms solutions for the probability of a Type S/M error from Lu, Qiu, and Deng (2018) <doi.org/10.1111/bmsp.12132> are implemented. As of 1.0.0, this includes support only for simple research designs. See the package vignette for a fuller exposition on how Type S/M errors arise in research, and how to analyze them using the type of design analysis proposed in the above papers.
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2023-06-16 |
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r-reportreg
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Provides an easy way to report the results of regression analysis, including: 1. Proportional hazards regression from function 'coxph' of package 'survival'; 2. Conditional logistic regression from function 'clogit' of package 'survival'; 3. Ordered logistic regression from function 'polr' of package 'MASS'; 4. Binary logistic regression from function 'glm' of package 'stats'; 5. Linear regression from function 'lm' of package 'stats'; 6. Risk regression model for survival analysis with competing risks from function 'FGR' of package 'riskRegression'; 7. Multilevel model from function 'lme' of package 'nlme'.
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2023-06-16 |
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r-repec
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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>.
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2023-06-16 |
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r-reinstallr
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Search R files for not installed packages and run install.packages.
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2023-06-16 |
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r-refset
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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.
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2023-06-16 |
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r-reactlog
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Building interactive web applications with R is incredibly easy with 'shiny'. Behind the scenes, 'shiny' builds a reactive graph that can quickly become intertwined and difficult to debug. 'reactlog' (Schloerke 2019) <doi:10.5281/zenodo.2591517> provides a visual insight into that black box of 'shiny' reactivity by constructing a directed dependency graph of the application's reactive state at any time point in a reactive recording.
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2023-06-16 |
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r-rdstreeboot
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A tree bootstrap method for estimating uncertainty in respondent-driven samples (RDS). Quantiles are estimated by multilevel resampling in such a way that preserves the dependencies of and accounts for the high variability of the RDS process.
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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-rcpp11
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Rcpp11 includes a header only C++11 library that facilitates integration between R and modern C++.
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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-rbldatalicense
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R interface to access prices and market data with the 'Bloomberg Data License' service from <https://www.bloomberg.com/professional/product/data-license/>. As a prerequisite, a valid Data License from 'Bloomberg' is needed together with the corresponding SFTP credentials and whitelisting of the IP from which accessing the service. This software and its author are in no way affiliated, endorsed, or approved by 'Bloomberg' or any of its affiliates. 'Bloomberg' is a registered trademark.
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2023-06-16 |
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r-ratesci
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Computes confidence intervals for the rate (or risk) difference ('RD') or rate ratio (or relative risk, 'RR') for binomial proportions or Poisson rates, or for odds ratio ('OR', binomial only). Also confidence intervals for a single binomial or Poisson rate, and intervals for matched pairs. Includes skewness-corrected asymptotic score ('SCAS') methods, which have been developed in Laud (2017) <doi:10.1002/pst.1813> from Miettinen & Nurminen (1985) <doi:10.1002/sim.4780040211> and Gart & Nam (1988) <doi:10.2307/2531848>. Also includes MOVER methods (Method Of Variance Estimates Recovery) for all contrasts, derived from the Newcombe method but using equal-tailed Jeffreys intervals, and generalised for Bayesian applications incorporating prior information. So-called 'exact' methods for strictly conservative coverage are approximated using continuity corrections. Also includes methods for stratified calculations (e.g. meta-analysis), either assuming fixed effects or incorporating stratum heterogeneity.
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2023-06-16 |
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r-ratedistortion
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An implementation of routines for solving rate-distortion problems. Rate-distortion theory is a field within information theory that examines optimal lossy compression. That is, given that some information must be lost, how can a communication channel be designed that minimizes the cost of communication error? Rate-distortion theory is concerned with the optimal (minimal cost) solution to such tradeoffs. An important tool for solving rate-distortion problems is the Blahut algorithm, developed by Richard Blahut and described in: . Blahut, R. E. (1972). Computation of channel capacity and rate-distortion functions. IEEE Transactions on Information Theory, IT-18(4), 460-473. . This package implements the basic Blahut algorithm, and additionally contains a number of `helper' functions, including a routine for searching for an information channel that minimizes cost subject to a constraint on information rate.
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2023-06-16 |
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r-raltmetric
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Provides a programmatic interface to the citation information and alternate metrics provided by 'Altmetric'. Data from Altmetric allows researchers to immediately track the impact of their published work, without having to wait for citations. This allows for faster engagement with the audience interested in your work. For more information, visit <https://www.altmetric.com/>.
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2023-06-16 |
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r-rainfarmr
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An implementation of the RainFARM (Rainfall Filtered Autoregressive Model) stochastic precipitation downscaling method (Rebora et al. (2006) <doi:10.1175/JHM517.1>). Adapted for climate downscaling according to D'Onofrio et al. (2018) <doi:10.1175/JHM-D-13-096.1> and for complex topography as in Terzago et al. (2018) <doi:10.5194/nhess-18-2825-2018>. The RainFARM method is based on the extrapolation to small scales of the Fourier spectrum of a large-scale precipitation field, using a fixed logarithmic slope and random phases at small scales, followed by a nonlinear transformation of the resulting linearly correlated stochastic field. RainFARM allows to generate ensembles of spatially downscaled precipitation fields which conserve precipitation at large scales and whose statistical properties are consistent with the small-scale statistics of observed precipitation, based only on knowledge of the large-scale precipitation field.
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2023-06-16 |
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r-rahrefs
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Enables downloading detailed reports from <https://ahrefs.com> about backlinks from pointing to website, provides authentication with an API key as well as ordering, grouping and filtering functionalities.
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2023-06-16 |
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r-radanalysis
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It has tools for normalization of rank abundance distributions (RAD) to a desired number of ranks using MaxRank Normalization method. RADs are commonly used in biology/ecology and mathematically equivalent to complementary cumulative distributions (CCDFs) which are used in physics, linguistics and sociology and more generally in data science.
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2023-06-16 |
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r-r2dt
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Some heavily used base R functions are reconstructed to also be compliant to data.table objects. Also, some general helper functions that could be of interest for working with data.table objects are included.
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2023-06-16 |
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r-quantreggrowth
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Fits non-crossing regression quantiles as a function of linear covariates and multiple smooth terms via B-splines with L1-norm difference penalties. Monotonicity constraints on the fitted curves are allowed. See Muggeo, Sciandra, Tomasello and Calvo (2013) <doi:10.1007/s10651-012-0232-1> and <doi:10.13140/RG.2.2.12924.85122> for some code example.
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2023-06-16 |
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r-qlearn
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Functions to implement Q-learning for estimating optimal dynamic treatment regimes from two stage sequentially randomized trials, and to perform inference via m-out-of-n bootstrap for parameters indexing the optimal regime.
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2023-06-16 |
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r-qcba
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CBA postprocessing algorithm that creates smaller models for datasets containing quantitative (numerical) attributes. Article describing QCBA is published in Tomas Kliegr (2017) <arXiv:1711.10166>.
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2023-06-16 |
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r-pvclass
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Computes nonparametric p-values for the potential class memberships of new observations as well as cross-validated p-values for the training data. The p-values are based on permutation tests applied to an estimated Bayesian likelihood ratio, using a plug-in statistic for the Gaussian model, 'k nearest neighbors', 'weighted nearest neighbors' or 'penalized logistic regression'. Additionally, it provides graphical displays and quantitative analyses of the p-values.
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2023-06-16 |
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r-ptwikiwords
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Contains a dataset of words used in 15.000 randomly extracted pages from the Portuguese Wikipedia (<https://pt.wikipedia.org/>).
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2023-06-16 |
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r-profmem
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A simple and light-weight API for memory profiling of R expressions. The profiling is built on top of R's built-in memory profiler ('utils::Rprofmem()'), which records every memory allocation done by R (also native code).
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2023-06-16 |
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r-printr
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Extends the S3 generic function knit_print() in 'knitr' to automatically print some objects using an appropriate format such as Markdown or LaTeX. For example, data frames are automatically printed as tables, and the help() pages can also be rendered in 'knitr' documents.
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2023-06-16 |
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r-prevederer
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Easy and efficient access to the API provided by 'Prevedere', an industry insights and predictive analytics company. Query and download indicators, models and workbenches built with 'Prevedere' for further analysis and reporting <https://www.prevedere.com/>.
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2023-06-16 |
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r-presenceabsence
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This package provides a set of functions useful when evaluating the results of presence-absence models. Package includes functions for calculating threshold dependent measures such as confusion matrices, pcc, sensitivity, specificity, and Kappa, and produces plots of each measure as the threshold is varied. It will calculate optimal threshold choice according to a choice of optimization criteria. It also includes functions to plot the threshold independent ROC curves along with the associated AUC (area under the curve).
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2023-06-16 |
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r-powerlaw
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An implementation of maximum likelihood estimators for a variety of heavy tailed distributions, including both the discrete and continuous power law distributions. Additionally, a goodness-of-fit based approach is used to estimate the lower cut-off for the scaling region.
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2023-06-16 |
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r-popgenkit
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There are two main purposes to this package. The first is to allow batch conversion of Genepop (Rousset 2008) input files for use with Arlequin (Excoffier and Lischer 2010), which has a simple GUI to analyze batch files. Two commonly used simulation software, BottleSim (Kuo & Janzen 2003) and Easypop (Balloux 2001) produce Genepop output files that can be analyzed this way. There are also functions to convert to and from BottleSim format, to quickly produce allele frequency tables or to convert a file directly for use in ordination analyses (e.g. principal component analysis). This package also includes functions to calculate allele rarefaction curves, confidence intervals on heterozygosity and allelic richness with resampling strategies (bootstrap and jackknife).
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2023-06-16 |
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r-pop
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Population dynamic models underpin a range of analyses and applications in ecology and epidemiology. The various approaches for analysing population dynamics models (MPMs, IPMs, ODEs, POMPs, PVA) each require the model to be defined in a different way. This makes it difficult to combine different modelling approaches and data types to solve a given problem. 'pop' aims to provide a flexible and easy to use common interface for constructing population dynamic models and enabling to them to be fitted and analysed in lots of different ways.
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2023-06-16 |
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r-poisnor
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Generates multivariate data with count and continuous variables with a pre-specified correlation matrix. The count and continuous variables are assumed to have Poisson and normal marginals, respectively. The data generation mechanism is a combination of the normal to anything principle and a connection between Poisson and normal correlations in the mixture.
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2023-06-16 |
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r-plantecophys
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Coupled leaf gas exchange model, A-Ci curve simulation and fitting, Ball-Berry stomatal conductance models, leaf energy balance using Penman-Monteith, Cowan-Farquhar optimization, humidity unit conversions. See Duursma (2015) <doi:10.1371/journal.pone.0143346>.
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2023-06-16 |
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r-pixels
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Provides tools to show and draw image pixels using 'HTML' widgets and 'Shiny' applications. It can be used to visualize the 'MNIST' dataset for handwritten digit recognition or to create new image recognition datasets.
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2023-06-16 |
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r-ryandextranslate
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'Yandex Translate' (https://translate.yandex.com/) is a statistical machine translation system. The system translates separate words, complete texts, and webpages. This package can be used to detect language from text and to translate it to supported target language. For more info: https://tech.yandex.com/translate/doc/dg/concepts/About-docpage/ .
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2023-06-16 |
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r-rxseq
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Analysis of combined total and allele specific reads from the reciprocal cross study with RNA-seq data.
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2023-06-16 |
