r-rhive
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RHive is an R extension facilitating distributed computing via HIVE query. It provides an easy to use HQL like SQL and R objects and functions in HQL.
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2025-03-25 |
r-irkernel
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public |
The R kernel for the 'Jupyter' environment executes R code which the front-end ('Jupyter Notebook' or other front-ends) submits to the kernel via the network.
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2025-03-25 |
rpy2
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Python interface to the R language (embedded R)
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2025-03-25 |
r-zoo
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An S3 class with methods for totally ordered indexed observations. It is particularly aimed at irregular time series of numeric vectors/matrices and factors. zoo's key design goals are independence of a particular index/date/time class and consistency with ts and base R by providing methods to extend standard generics.
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2025-03-25 |
r-yaml
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Implements the 'libyaml' 'YAML' 1.1 parser and emitter (<http://pyyaml.org/wiki/LibYAML>) for R.
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2025-03-25 |
r-xts
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public |
Provide for uniform handling of R's different time-based data classes by extending zoo, maximizing native format information preservation and allowing for user level customization and extension, while simplifying cross-class interoperability.
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2025-03-25 |
r-xtable
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Coerce data to LaTeX and HTML tables.
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2025-03-25 |
r-xml
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Many approaches for both reading and creating XML (and HTML) documents (including DTDs), both local and accessible via HTTP or FTP. Also offers access to an 'XPath' "interpreter".
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2025-03-25 |
r-xml2
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Work with XML files using a simple, consistent interface. Built on top of the 'libxml2' C library.
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2025-03-25 |
r-xlsxjars
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The xlsxjars package collects all the external jars required for the xlxs package. This release corresponds to POI 3.10.1.
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2025-03-25 |
r-xlsx
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Provide R functions to read/write/format Excel 2007 and Excel 97/2000/XP/2003 file formats.
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2025-03-25 |
r-withr
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public |
A set of functions to run code 'with' safely and temporarily modified global state. Many of these functions were originally a part of the 'devtools' package, this provides a simple package with limited dependencies to provide access to these functions.
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2025-03-25 |
r-whisker
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logicless templating, reuse templates in many programming languages including R
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2025-03-25 |
r-weatherdata
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public |
Functions that help in fetching weather data from websites. Given a location and a date range, these functions help fetch weather data (temperature, pressure etc.) for any weather related analysis.
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2025-03-25 |
r-viridislite
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public |
Implementation of the 'viridis' - the default -, 'magma', 'plasma', 'inferno', and 'cividis' color maps for 'R'. 'viridis', 'magma', 'plasma', and 'inferno' are ported from 'matplotlib' <http://matplotlib.org/>, a popular plotting library for 'python'. 'cividis', was developed by Jamie R. Nuñez and Sean M. Colby. These color maps are designed in such a way that they will analytically be perfectly perceptually-uniform, both in regular form and also when converted to black-and-white. They are also designed to be perceived by readers with the most common form of color blindness (all color maps in this package) and color vision deficiency ('cividis' only). This is the 'lite' version of the more complete 'viridis' package that can be found at <https://cran.r-project.org/package=viridis>.
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2025-03-25 |
r-viridis
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public |
Implementation of the 'viridis' - the default -, 'magma', 'plasma', 'inferno', and 'cividis' color maps for 'R'. 'viridis', 'magma', 'plasma', and 'inferno' are ported from 'matplotlib' <http://matplotlib.org/>, a popular plotting library for 'python'. 'cividis', was developed by Jamie R. Nuñez and Sean M. Colby. These color maps are designed in such a way that they will analytically be perfectly perceptually-uniform, both in regular form and also when converted to black-and-white. They are also designed to be perceived by readers with the most common form of color blindness (all color maps in this package) and color vision deficiency ('cividis' only).
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2025-03-25 |
r-vgam
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public |
An implementation of about 6 major classes of statistical regression models. At the heart of it are the vector generalized linear and additive model (VGLM/VGAM) classes, and the book "Vector Generalized Linear and Additive Models: With an Implementation in R" (Yee, 2015) <DOI:10.1007/978-1-4939-2818-7> gives details of the statistical framework and VGAM package. Currently only fixed-effects models are implemented, i.e., no random-effects models. Many (150+) models and distributions are estimated by maximum likelihood estimation (MLE) or penalized MLE, using Fisher scoring. VGLMs can be loosely thought of as multivariate GLMs. VGAMs are data-driven VGLMs (i.e., with smoothing). The other classes are RR-VGLMs (reduced-rank VGLMs), quadratic RR-VGLMs, reduced-rank VGAMs, RCIMs (row-column interaction models)---these classes perform constrained and unconstrained quadratic ordination (CQO/UQO) models in ecology, as well as constrained additive ordination (CAO). Note that these functions are subject to change; see the NEWS and ChangeLog files for latest changes.
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2025-03-25 |
r-vars
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Estimation, lag selection, diagnostic testing, forecasting, causality analysis, forecast error variance decomposition and impulse response functions of VAR models and estimation of SVAR and SVEC models.
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2025-03-25 |
r-uuid
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Tools for generating and handling of UUIDs (Universally Unique Identifiers).
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2025-03-25 |
r-utf8
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Process and print 'UTF-8' encoded international text (Unicode). Input, validate, normalize, encode, format, and display.
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2025-03-25 |
r-urca
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Unit root and cointegration tests encountered in applied econometric analysis are implemented.
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2025-03-25 |
r-units
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Support for measurement units in R vectors, matrices and arrays: automatic propagation, conversion, derivation and simplification of units; raising errors in case of unit incompatibility. Compatible with the POSIXct, Date and difftime classes. Uses the UNIDATA udunits library and unit database for unit compatibility checking and conversion.
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2025-03-25 |
r-udunits2
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Provides simple bindings to Unidata's udunits library.
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2025-03-25 |
r-ttr
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Functions and data to construct technical trading rules with R.
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2025-03-25 |
r-tseries
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Time series analysis and computational finance.
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2025-03-25 |