nnsrl
by Nonserial
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Packages
| Name | Latest Version | Summary | Updated | License |
|---|
| r-digest | 0.6.18 | Implementation of a function 'digest()' for the creation of hash digests of arbitrary R objects (using the 'md5', 'sha-1', 'sha-256', 'crc32', 'xxhash' and 'murmurhash' algorithms) permitting easy comparison of R language objects, as well as a function 'hmac()' to create hash-based message authentication code. Please note that this package is not meant to be deployed for cryptographic purposes for which more comprehensive (and widely tested) libraries such as 'OpenSSL' should be used. | Mar 25, 2025 | GPL (>= 2) |
| r-matrix | 1.2_15 | A rich hierarchy of matrix classes, including triangular, symmetric, and diagonal matrices, both dense and sparse and with pattern, logical and numeric entries. Numerous methods for and operations on these matrices, using 'LAPACK' and 'SuiteSparse' libraries. | Mar 25, 2025 | GPL (>= 2) | file LICENCE |
| r-ggplot2 | 3.1.0 | A system for 'declaratively' creating graphics, based on "The Grammar of Graphics". You provide the data, tell 'ggplot2' how to map variables to aesthetics, what graphical primitives to use, and it takes care of the details. | Mar 25, 2025 | GPL-2 | file LICENSE |
| r-modelmetrics | 1.2.2 | Collection of metrics for evaluating models written in C++ using 'Rcpp'. Popular metrics include area under the curve, log loss, root mean square error, etc. | Mar 25, 2025 | GPL (>= 2) |
| r-nlp | 0.2_0 | Basic classes and methods for Natural Language Processing. | Mar 25, 2025 | GPL-3 |
| r-slam | 0.1_44 | Data structures and algorithms for sparse arrays and matrices, based on index arrays and simple triplet representations, respectively. | Mar 25, 2025 | GPL-2 |
| r-rwekajars | 3.9.3_1 | External jars required for package 'RWeka'. | Mar 25, 2025 | GPL-2 |
| r-ckmeans.1d.dp | 4.2.2 | Fast optimal univariate clustering and segementation by dynamic programming. Three types of problem including univariate k-means, k-median, and k-segments are solved with guaranteed optimality and reproducibility. The core algorithm minimizes the sum of within-cluster distances using respective metrics. Its advantage over heuristic clustering algorithms in efficiency and accuracy is increasingly pronounced as the number of clusters k increases. Weighted k-means and unweighted k-segments algorithms can also optimally segment time series and perform peak calling. An auxiliary function generates histograms that are adaptive to patterns in data. In contrast to heuristic methods, this package provides a powerful set of tools for univariate data analysis with guaranteed optimality. Use four spaces when indenting paragraphs within the Description. | Mar 25, 2025 | LGPL (>= 3) |
| r-tm | 0.7_6 | A framework for text mining applications within R. | Mar 25, 2025 | GPL-3 |
| r-rlang | 0.3.1 | A toolbox for working with base types, core R features like the condition system, and core 'Tidyverse' features like tidy evaluation. | Mar 25, 2025 | GPL-3 |
| r-rcpp | 1.0.0 | The 'Rcpp' package provides R functions as well as C++ classes which offer a seamless integration of R and C++. Many R data types and objects can be mapped back and forth to C++ equivalents which facilitates both writing of new code as well as easier integration of third-party libraries. Documentation about 'Rcpp' is provided by several vignettes included in this package, via the 'Rcpp Gallery' site at <http://gallery.rcpp.org>, the paper by Eddelbuettel and Francois (2011, <doi:10.18637/jss.v040.i08>), the book by Eddelbuettel (2013, <doi:10.1007/978-1-4614-6868-4>) and the paper by Eddelbuettel and Balamuta (2018, <doi:10.1080/00031305.2017.1375990>); see 'citation("Rcpp")' for details. | Mar 25, 2025 | GPL (>= 2) |
| r-r6 | 2.3.0 | Creates classes with reference semantics, similar to R's built-in reference classes. Compared to reference classes, R6 classes are simpler and lighter-weight, and they are not built on S4 classes so they do not require the methods package. These classes allow public and private members, and they support inheritance, even when the classes are defined in different packages. | Mar 25, 2025 | MIT + file LICENSE |
| r-lattice | 0.20_38 | A powerful and elegant high-level data visualization system inspired by Trellis graphics, with an emphasis on multivariate data. Lattice is sufficient for typical graphics needs, and is also flexible enough to handle most nonstandard requirements. See ?Lattice for an introduction. | Mar 25, 2025 | GPL (>= 2) |
| r-fansi | 0.4.0 | Counterparts to R string manipulation functions that account for the effects of ANSI text formatting control sequences. | Mar 25, 2025 | GPL (>= 2) |
| r-mass | 7.3_51.1 | Functions and datasets to support Venables and Ripley, "Modern Applied Statistics with S" (4th edition, 2002). | Mar 25, 2025 | GPL-2 | GPL-3 |
| r-pillar | 1.3.1 | Provides a 'pillar' generic designed for formatting columns of data using the full range of colours provided by modern terminals. | Mar 25, 2025 | GPL-3 |
| r-cli | 1.0.1 | A suite of tools designed to build attractive command line interfaces ('CLIs'). Includes tools for drawing rules, boxes, trees, and 'Unicode' symbols with 'ASCII' alternatives. | Mar 25, 2025 | MIT + file LICENSE |
| r-mgcv | 1.8_26 | Generalized additive (mixed) models, some of their extensions and other generalized ridge regression with multiple smoothing parameter estimation by (Restricted) Marginal Likelihood, Generalized Cross Validation and similar. Includes a gam() function, a wide variety of smoothers, JAGS support and distributions beyond the exponential family. | Mar 25, 2025 | GPL (>= 2) |
| r-glue | 1.3.0 | An implementation of interpreted string literals, inspired by Python's Literal String Interpolation <https://www.python.org/dev/peps/pep-0498/> and Docstrings <https://www.python.org/dev/peps/pep-0257/> and Julia's Triple-Quoted String Literals <https://docs.julialang.org/en/stable/manual/strings/#triple-quoted-string-literals>. | Mar 25, 2025 | MIT + file LICENSE |
| r-utf8 | 1.1.4 | Process and print 'UTF-8' encoded international text (Unicode). Input, validate, normalize, encode, format, and display. | Mar 25, 2025 | Apache License (== 2.0) | file LICENSE |
| r-survival | 2.43_1 | 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. | Mar 25, 2025 | LGPL (>= 2) |
| r-processx | 3.2.1 | Tools to run system processes in the background. It can check if a background process is running; wait on a background process to finish; get the exit status of finished processes; kill background processes. It can read the standard output and error of the processes, using non-blocking connections. 'processx' can poll a process for standard output or error, with a timeout. It can also poll several processes at once. | Mar 25, 2025 | MIT + file LICENSE |
| r-codetools | 0.2_16 | Code analysis tools for R. | Mar 25, 2025 | GPL |
| r-openssl | 1.1 | Bindings to OpenSSL libssl and libcrypto, plus custom SSH pubkey parsers. Supports RSA, DSA and EC curves P-256, P-384 and P-521. Cryptographic signatures can either be created and verified manually or via x509 certificates. AES can be used in cbc, ctr or gcm mode for symmetric encryption; RSA for asymmetric (public key) encryption or EC for Diffie Hellman. High-level envelope functions combine RSA and AES for encrypting arbitrary sized data. Other utilities include key generators, hash functions (md5, sha1, sha256, etc), base64 encoder, a secure random number generator, and 'bignum' math methods for manually performing crypto calculations on large multibyte integers. | Mar 25, 2025 | MIT + file LICENSE |
| r-purrr | 0.2.5 | A complete and consistent functional programming toolkit for R. | Mar 25, 2025 | GPL-3 | file LICENSE |