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r-segmag
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Contains functions that help to determine event boundaries in event segmentation experiments by bootstrapping a critical segmentation magnitude under the null hypothesis that all key presses were randomly distributed across the experiment. Segmentation magnitude is defined as the sum of Gaussians centered at the times of the segmentation key presses performed by the participants. Within a participant, the maximum of the overlaid Gaussians is used to prevent an excessive influence of a single participant on the overall outcome (e.g. if a participant is pressing the key multiple times in succession). Further functions are included, such as plotting the results.
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2025-04-22 |
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r-securitytxt
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When security risks in web services are discovered by independent security researchers who understand the severity of the risk, they often lack the channels to properly disclose them. As a result, security issues may be left unreported. The 'security.txt' 'Web Security Policies' specification defines an 'IETF' draft standard <https://tools.ietf.org/html/draft-foudil-securitytxt-00> to help organizations define the process for security researchers to securely disclose security vulnerabilities. Tools are provided to help identify and parse 'security.txt' files to enable analysis of the usage and adoption of these policies.
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2025-04-22 |
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r-secure
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Sequential factor extraction via co-sparse unit-rank estimation (SeCURE).
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2025-04-22 |
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r-secr
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Functions to estimate the density and size of a spatially distributed animal population sampled with an array of passive detectors, such as traps, or by searching polygons or transects. Models incorporating distance-dependent detection are fitted by maximizing the likelihood. Tools are included for data manipulation and model selection.
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2025-04-22 |
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r-seas
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Capable of deriving seasonal statistics, such as "normals", and analysis of seasonal data, such as departures. This package also has graphics capabilities for representing seasonal data, including boxplots for seasonal parameters, and bars for summed normals. There are many specific functions related to climatology, including precipitation normals, temperature normals, cumulative precipitation departures and precipitation interarrivals. However, this package is designed to represent any time-varying parameter with a discernible seasonal signal, such as found in hydrology and ecology.
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2025-04-22 |
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r-searchtrees
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This package provides an implementation of the QuadTree data structure. It uses this to implement fast k-Nearest Neighbor and Rectangular range lookups in 2 dimenions. The primary target is high performance interactive graphics.
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2025-04-22 |
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r-sdwd
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Formulates a sparse distance weighted discrimination (SDWD) for high-dimensional classification and implements a very fast algorithm for computing its solution path with the L1, the elastic-net, and the adaptive elastic-net penalties.
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2025-04-22 |
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r-sdpt3r
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Solves the general Semi-Definite Linear Programming formulation using an R implementation of SDPT3 (K.C. Toh, M.J. Todd, and R.H. Tutuncu (1999) <doi:10.1080/10556789908805762>). This includes problems such as the nearest correlation matrix problem (Higham (2002) <doi:10.1093/imanum/22.3.329>), D-optimal experimental design (Smith (1918) <doi:10.2307/2331929>), Distance Weighted Discrimination (Marron and Todd (2012) <doi:10.1198/016214507000001120>), as well as graph theory problems including the maximum cut problem. Technical details surrounding SDPT3 can be found in R.H Tutuncu, K.C. Toh, and M.J. Todd (2003) <doi:10.1007/s10107-002-0347-5>.
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2025-04-22 |
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r-sdnet
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Fitting discrete Bayesian networks using soft-discretized data. Soft-discretization is based on mixture of normal distributions. Also implemented is a supervised Bayesian network learning employing Kullback-Leibler divergence. For more information see Balov (2013) <DOI:10.1186/1755-8794-6-S3-S1>.
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2025-04-22 |
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r-sdde
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Compares the evolution of an original network X to an augmented network Y by counting the number of Shortcuts, Detours, Dead Ends (SDDE), equal paths and disconnected nodes.
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2025-04-22 |
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r-sdat
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Test the global null in linear models using marginal approach.
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2025-04-22 |
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r-rcppxsimd
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This header-only library provides modern, portable C++ wrappers for SIMD intrinsics and parallelized, optimized math implementations (SSE, AVX, NEON, AVX512). By placing this library in this package, we offer an efficient distribution system for Xsimd <https://github.com/QuantStack/xsimd> for R packages using CRAN.
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2025-04-22 |
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r-rcppgetconf
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The 'getconf' command-line tool provided by 'libc' allows querying of a large number of system variables. This package provides similar functionality.
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2025-04-22 |
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r-rborist
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Scalable implementation of classification and regression forests, as described by Breiman (2001), <DOI:10.1023/A:1010933404324>.
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2025-04-22 |
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r-r4dfp
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This package provides an R interface with 2-part 4dfp MRI images (.4dfp.ifh and .4dfp.img files.)
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2025-04-22 |
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r-readstata13
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Function to read and write the 'Stata' file format.
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2025-04-22 |
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r-readsdmx
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Read Statistical Data and Metadata Exchange (SDMX) XML data. This the main transmission format used in official statistics. Data can be imported from local SDMX-ML files or a SDMX web-service and will be read in 'as is' into a dataframe object. The 'RapidXML' C++ library <http://rapidxml.sourceforge.net> is used to parse the XML data.
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2025-04-22 |
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r-readobj
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Wraps 'tiny_obj_loader' C++ library for reading the 'Wavefront' OBJ 3D file format including both mesh objects and materials files. The resultant R objects are either structured to match the 'tiny_obj_loader' internal data representation or in a form directly compatible with the 'rgl' package.
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2025-04-22 |
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r-read.dbc
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Functions for reading and decompressing the DBC (compressed DBF) files. Please note that this is the file format used by the Brazilian Ministry of Health (DATASUS) to publish healthcare datasets. It is not related to the FoxPro or CANdb DBC file formats.
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2025-04-22 |
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r-rdtq
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Implementation of density tracking by quadrature (DTQ) algorithms for stochastic differential equations (SDEs). DTQ algorithms numerically compute the density function of the solution of an SDE with user-specified drift and diffusion functions. The calculation does not require generation of sample paths, but instead proceeds in a deterministic fashion by repeatedly applying quadrature to the Chapman-Kolmogorov equation associated with a discrete-time approximation of the SDE. The DTQ algorithm is provably convergent. For several practical problems of interest, we have found the DTQ algorithm to be fast, accurate, and easy to use.
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2025-04-22 |
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r-rdsdp
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R interface to DSDP semidefinite programming library. The DSDP software is a free open source implementation of an interior-point method for semidefinite programming. It provides primal and dual solutions, exploits low-rank structure and sparsity in the data, and has relatively low memory requirements for an interior-point method.
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2025-04-22 |
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r-rdotnet
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Low-level interface to '.NET' virtual machine along the lines of the R C .call interface. Can create '.NET' object, call methods, get or set properties, call static functions, etc.
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2025-04-22 |
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r-rdist
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A common framework for calculating distance matrices.
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2025-04-22 |
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r-rdieharder
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The 'RDieHarder' package provides an R interface to the 'DieHarder' suite of random number generators and tests that was developed by Robert G. Brown and David Bauer, extending earlier work by George Marsaglia and others. The 'DieHarder' library is included, but if a version is already installed it will be used instead.
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2025-04-22 |
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r-rcsf
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Cloth Simulation Filter (CSF) is an airborne LiDAR (Light Detection and Ranging) ground points filtering algorithm which is based on cloth simulation. It tries to simulate the interactions between the cloth nodes and the corresponding LiDAR points, the locations of the cloth nodes can be determined to generate an approximation of the ground surface.
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2025-04-22 |
