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rwinlib
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public |
No Summary
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2025-03-25 |
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rstudio
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public |
A set of integrated tools designed to help you be more productive with R
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2025-03-25 |
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rpy2
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public |
Python interface to the R language (embedded R)
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2025-03-25 |
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r-zoo
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public |
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 |
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r-yaml
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public |
Implements the 'libyaml' 'YAML' 1.1 parser and emitter (<http://pyyaml.org/wiki/LibYAML>) for R.
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2025-03-25 |
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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 |
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r-xtable
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public |
Coerce data to LaTeX and HTML tables.
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2025-03-25 |
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r-xml2
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public |
Work with XML files using a simple, consistent interface. Built on top of the 'libxml2' C library.
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2025-03-25 |
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r-xml
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public |
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 |
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r-xlsxjars
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public |
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 |
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r-xlsx
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public |
Provide R functions to read/write/format Excel 2007 and Excel 97/2000/XP/2003 file formats.
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2025-03-25 |
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r-xgboost
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public |
eXtreme Gradient Boosting
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2025-03-25 |
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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 |
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r-whisker
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public |
logicless templating, reuse templates in many programming languages including R
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2025-03-25 |
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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 |
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r-visnetwork
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public |
Provides an R interface to the 'vis.js' JavaScript charting library. It allows an interactive visualization of networks.
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2025-03-25 |
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r-viridislite
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public |
Port of the new 'matplotlib' color maps ('viridis' - the default -, 'magma', 'plasma' and 'inferno') to 'R'. 'matplotlib' <http://matplotlib.org/ > is a popular plotting library for 'python'. 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. 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 |
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r-viridis
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public |
Port of the new 'matplotlib' color maps ('viridis' - the default -, 'magma', 'plasma' and 'inferno') to 'R'. 'matplotlib' <http://matplotlib.org/ > is a popular plotting library for 'python'. 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.
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2025-03-25 |
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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 |
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r-vars
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public |
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 |
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r-uuid
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public |
Tools for generating and handling of UUIDs (Universally Unique Identifiers).
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2025-03-25 |
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r-utf8
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public |
Processing and printing 'UTF-8' encoded international text (Unicode). Functions to input, validate, normalize, encode, format, and display.
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2025-03-25 |
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r-urca
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public |
Unit root and cointegration tests encountered in applied econometric analysis are implemented.
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2025-03-25 |
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r-units
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public |
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 |
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r-udunits2
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public |
Provides simple bindings to Unidata's udunits library.
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2025-03-25 |
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r-ttr
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public |
Functions and data to construct technical trading rules with R.
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2025-03-25 |
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r-tseries
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public |
Time series analysis and computational finance.
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2025-03-25 |
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r-tokenizers
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public |
Convert natural language text into tokens. The tokenizers have a consistent interface and are compatible with Unicode, thanks to being built on the 'stringi' package. Includes tokenizers for shingled n-grams, skip n-grams, words, word stems, sentences, paragraphs, characters, lines, and regular expressions.
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2025-03-25 |
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r-tm
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public |
A framework for text mining applications within R.
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2025-03-25 |
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r-tkrplot
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public |
simple mechanism for placing R graphics in a Tk widget
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2025-03-25 |
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r-tkrgl
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public |
TK widget tools for rgl package
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2025-03-25 |
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r-timedate
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public |
The 'timeDate' class fulfils the conventions of the ISO 8601 standard as well as of the ANSI C and POSIX standards. Beyond these standards it provides the "Financial Center" concept which allows to handle data records collected in different time zones and mix them up to have always the proper time stamps with respect to your personal financial center, or alternatively to the GMT reference time. It can thus also handle time stamps from historical data records from the same time zone, even if the financial centers changed day light saving times at different calendar dates.
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2025-03-25 |
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r-tilegramsr
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public |
R spatial objects for Tilegrams. Tilegrams are tiled maps where the region size is proportional to the certain characteristics of the dataset.
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2025-03-25 |
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r-tidyverse
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public |
The 'tidyverse' is a set of packages that work in harmony because they share common data representations and 'API' design. This package is designed to make it easy to install and load multiple 'tidyverse' packages in a single step. Learn more about the 'tidyverse' at <https://tidyverse.org>.
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2025-03-25 |
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r-tidytext
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public |
Text mining for word processing and sentiment analysis using 'dplyr', 'ggplot2', and other tidy tools.
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2025-03-25 |
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r-tidyselect
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public |
A backend for the selecting functions of the 'tidyverse'. It makes it easy to implement select-like functions in your own packages in a way that is consistent with other 'tidyverse' interfaces for selection.
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2025-03-25 |
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r-tidyr
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public |
An evolution of 'reshape2'. It's designed specifically for data tidying (not general reshaping or aggregating) and works well with 'dplyr' data pipelines.
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2025-03-25 |
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r-tibble
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public |
Provides a 'tbl_df' class (the 'tibble') that provides stricter checking and better formatting than the traditional data frame.
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2025-03-25 |
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r-threejs
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public |
Create interactive 3D scatter plots, network plots, and globes using the 'three.js' visualization library (<https://threejs.org>).
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2025-03-25 |
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r-th.data
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public |
Contains data sets used in other packages Torsten Hothorn maintains.
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2025-03-25 |
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r-tfruns
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public |
Create and manage unique directories for each 'TensorFlow' training run. Provides a unique, time stamped directory for each run along with functions to retrieve the directory of the latest run or latest several runs.
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2025-03-25 |
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r-testthat
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public |
Software testing is important, but, in part because it is frustrating and boring, many of us avoid it. 'testthat' is a testing framework for R that is easy learn and use, and integrates with your existing 'workflow'.
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2025-03-25 |
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r-testit
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public |
Provides two convenience functions assert() and test_pkg() to facilitate testing R packages.
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2025-03-25 |
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r-tensorflow
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public |
Interface to 'TensorFlow' <https://www.tensorflow.org/>, an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more 'CPUs' or 'GPUs' in a desktop, server, or mobile device with a single 'API'. 'TensorFlow' was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well.
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2025-03-25 |
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r-survival
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public |
Contains the core survival analysis routines, including definition of Surv objects, Kaplan-Meier and Aalen-Johansen (multi-state) curves, Cox models, and parametric accelerated failure time models.
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2025-03-25 |
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r-strucchange
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public |
Testing, monitoring and dating structural changes in (linear) regression models. strucchange features tests/methods from the generalized fluctuation test framework as well as from the F test (Chow test) framework. This includes methods to fit, plot and test fluctuation processes (e.g., CUSUM, MOSUM, recursive/moving estimates) and F statistics, respectively. It is possible to monitor incoming data online using fluctuation processes. Finally, the breakpoints in regression models with structural changes can be estimated together with confidence intervals. Emphasis is always given to methods for visualizing the data.
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2025-03-25 |
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r-stringr
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public |
A consistent, simple and easy to use set of wrappers around the fantastic 'stringi' package. All function and argument names (and positions) are consistent, all functions deal with "NA"'s and zero length vectors in the same way, and the output from one function is easy to feed into the input of another.
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2025-03-25 |
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r-stringi
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public |
Allows for fast, correct, consistent, portable, as well as convenient character string/text processing in every locale and any native encoding. Owing to the use of the ICU library, the package provides R users with platform-independent functions known to Java, Perl, Python, PHP, and Ruby programmers. Available features include: pattern searching (e.g., with ICU Java-like regular expressions or the Unicode Collation Algorithm), random string generation, case mapping, string transliteration, concatenation, Unicode normalization, date-time formatting and parsing, etc.
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2025-03-25 |
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r-stringdist
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public |
Implements an approximate string matching version of R's native 'match' function. Can calculate various string distances based on edits (Damerau-Levenshtein, Hamming, Levenshtein, optimal sting alignment), qgrams (q- gram, cosine, jaccard distance) or heuristic metrics (Jaro, Jaro-Winkler). An implementation of soundex is provided as well. Distances can be computed between character vectors while taking proper care of encoding or between integer vectors representing generic sequences.
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2025-03-25 |
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r-stanheaders
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public |
The C++ header files of the Stan project are provided by this package, but it contains no R code, vignettes, or function documentation. There is a shared object containing part of the 'CVODES' library, but it is not accessible from R. 'StanHeaders' is only useful for developers who want to utilize the 'LinkingTo' directive of their package's DESCRIPTION file to build on the Stan library without incurring unnecessary dependencies. The Stan project develops a probabilistic programming language that implements full or approximate Bayesian statistical inference via Markov Chain Monte Carlo or 'variational' methods and implements (optionally penalized) maximum likelihood estimation via optimization. The Stan library includes an advanced automatic differentiation scheme, 'templated' statistical and linear algebra functions that can handle the automatically 'differentiable' scalar types (and doubles, 'ints', etc.), and a parser for the Stan language. The 'rstan' package provides user-facing R functions to parse, compile, test, estimate, and analyze Stan models.
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2025-03-25 |
