Showing 25 of total 25 results (show query)
sungkyujung
ClusTorus:Prediction and Clustering on the Torus by Conformal Prediction
Provides various tools of for clustering multivariate angular data on the torus. The package provides angular adaptations of usual clustering methods such as the k-means clustering, pairwise angular distances, which can be used as an input for distance-based clustering algorithms, and implements clustering based on the conformal prediction framework. Options for the conformal scores include scores based on a kernel density estimate, multivariate von Mises mixtures, and naive k-means clusters. Moreover, the package provides some basic data handling tools for angular data.
Maintained by Seungki Hong. Last updated 3 years ago.
35.7 match 3 stars 4.18 score 8 scripts
paulnorthrop
donut:Nearest Neighbour Search with Variables on a Torus
Finds the k nearest neighbours in a dataset of specified points, adding the option to wrap certain variables on a torus. The user chooses the algorithm to use to find the nearest neighbours. Two such algorithms, provided by the packages 'RANN' <https://cran.r-project.org/package=RANN>, and 'nabor' <https://cran.r-project.org/package=nabor>, are suggested.
Maintained by Paul J. Northrop. Last updated 2 years ago.
degreesdonutedgesknn-algorithmknn-searchnabornearestnearest-neighbornearest-neighbor-searchnearest-neighborsnearest-neighbour-algorithmnearest-neighboursneighborsperiodicityranntoruswrap
19.3 match 1 stars 4.18 score 5 scripts 1 dependents
schloerke
geozoo:Zoo of Geometric Objects
Geometric objects defined in 'geozoo' can be simulated or displayed in the R package 'tourr'.
Maintained by Barret Schloerke. Last updated 9 years ago.
11.1 match 5 stars 5.21 score 100 scripts 2 dependents
egarpor
ridgetorus:PCA on the Torus via Density Ridges
Implementation of a Principal Component Analysis (PCA) in the torus via density ridge estimation. The main function, ridge_pca(), obtains the relevant density ridge for bivariate sine von Mises and bivariate wrapped Cauchy distribution models and provides the associated scores and variance decomposition. Auxiliary functions for evaluating, fitting, and sampling these models are also provided. The package provides replicability to García-Portugués and Prieto-Tirado (2023) <doi:10.1007/s11222-023-10273-9>.
Maintained by Eduardo García-Portugués. Last updated 2 years ago.
circular-statisticsdimensionality-reductiondirectional-statisticsopenblascpp
10.2 match 4 stars 4.30 score 9 scripts
stla
uniformly:Uniform Sampling
Uniform sampling on various geometric shapes, such as spheres, ellipsoids, simplices.
Maintained by Stéphane Laurent. Last updated 2 years ago.
6.5 match 10 stars 6.21 score 109 scripts 1 dependents
r-forge
randtoolbox:Toolbox for Pseudo and Quasi Random Number Generation and Random Generator Tests
Provides (1) pseudo random generators - general linear congruential generators, multiple recursive generators and generalized feedback shift register (SF-Mersenne Twister algorithm (<doi:10.1007/978-3-540-74496-2_36>) and WELL (<doi:10.1145/1132973.1132974>) generators); (2) quasi random generators - the Torus algorithm, the Sobol sequence, the Halton sequence (including the Van der Corput sequence) and (3) some generator tests - the gap test, the serial test, the poker test, see, e.g., Gentle (2003) <doi:10.1007/b97336>. Take a look at the Distribution task view of types and tests of random number generators. The package can be provided without the 'rngWELL' dependency on demand. Package in Memoriam of Diethelm and Barbara Wuertz.
Maintained by Christophe Dutang. Last updated 3 months ago.
3.8 match 1 stars 10.23 score 578 scripts 80 dependents
barnhilldave
TML:Tropical Geometry Tools for Machine Learning
Suite of tropical geometric tools for use in machine learning applications. These methods may be summarized in the following references: Yoshida, et al. (2022) <arxiv:2209.15045>, Barnhill et al. (2023) <arxiv:2303.02539>, Barnhill and Yoshida (2023) <doi:10.3390/math11153433>, Aliatimis et al. (2023) <arXiv:2306.08796>, Yoshida et al. (2022) <arXiv:2206.04206>, and Yoshida et al. (2019) <doi:10.1007/s11538-018-0493-4>.
Maintained by David Barnhill. Last updated 8 months ago.
10.4 match 3 stars 3.65 score 1 scripts
tylermorganwall
rayrender:Build and Raytrace 3D Scenes
Render scenes using pathtracing. Build 3D scenes out of spheres, cubes, planes, disks, triangles, cones, curves, line segments, cylinders, ellipsoids, and 3D models in the 'Wavefront' OBJ file format or the PLY Polygon File Format. Supports several material types, textures, multicore rendering, and tone-mapping. Based on the "Ray Tracing in One Weekend" book series. Peter Shirley (2018) <https://raytracing.github.io>.
Maintained by Tyler Morgan-Wall. Last updated 17 days ago.
2.3 match 630 stars 10.78 score 188 scripts 8 dependents
adeverse
adespatial:Multivariate Multiscale Spatial Analysis
Tools for the multiscale spatial analysis of multivariate data. Several methods are based on the use of a spatial weighting matrix and its eigenvector decomposition (Moran's Eigenvectors Maps, MEM). Several approaches are described in the review Dray et al (2012) <doi:10.1890/11-1183.1>.
Maintained by Aurélie Siberchicot. Last updated 13 days ago.
1.6 match 36 stars 11.06 score 398 scripts 2 dependentsegarpor
sdetorus:Statistical Tools for Toroidal Diffusions
Implementation of statistical methods for the estimation of toroidal diffusions. Several diffusive models are provided, most of them belonging to the Langevin family of diffusions on the torus. Specifically, the wrapped normal and von Mises processes are included, which can be seen as toroidal analogues of the Ornstein-Uhlenbeck diffusion. A collection of methods for approximate maximum likelihood estimation, organized in four blocks, is given: (i) based on the exact transition probability density, obtained as the numerical solution to the Fokker-Plank equation; (ii) based on wrapped pseudo-likelihoods; (iii) based on specific analytic approximations by wrapped processes; (iv) based on maximum likelihood of the stationary densities. The package allows the replicability of the results in García-Portugués et al. (2019) <doi:10.1007/s11222-017-9790-2>.
Maintained by Eduardo García-Portugués. Last updated 1 years ago.
circular-statisticsinferencemaximum-likelihoodreproducible-researchsdestatisticstoroidal-dataopenblascpp
4.3 match 5 stars 3.88 score 9 scripts 1 dependentstylermorganwall
rayvertex:3D Software Rasterizer
Rasterize images using a 3D software renderer. 3D scenes are created either by importing external files, building scenes out of the included objects, or by constructing meshes manually. Supports point and directional lights, anti-aliased lines, shadow mapping, transparent objects, translucent objects, multiple materials types, reflection, refraction, environment maps, multicore rendering, bloom, tone-mapping, and screen-space ambient occlusion.
Maintained by Tyler Morgan-Wall. Last updated 1 months ago.
2.0 match 68 stars 8.23 score 25 scripts 11 dependents
jayanilakshika
cardinalR:Collection of Data Structures
A collection of simple simulation datasets designed for generating Nonlinear Dimension Reduction representations techniques such as t-distributed Stochastic Neighbor Embedding, and Uniform Manifold Approximation and Projection. These datasets serve as a valuable resource for understanding the reliability of Nonlinear Dimension Reduction representations in various contexts.
Maintained by Jayani P.G. Lakshika. Last updated 12 days ago.
3.5 match 4.54 score
jkim82133
TDA:Statistical Tools for Topological Data Analysis
Tools for Topological Data Analysis. The package focuses on statistical analysis of persistent homology and density clustering. For that, this package provides an R interface for the efficient algorithms of the C++ libraries 'GUDHI' <https://project.inria.fr/gudhi/software/>, 'Dionysus' <https://www.mrzv.org/software/dionysus/>, and 'PHAT' <https://bitbucket.org/phat-code/phat/>. This package also implements methods from Fasy et al. (2014) <doi:10.1214/14-AOS1252> and Chazal et al. (2015) <doi:10.20382/jocg.v6i2a8> for analyzing the statistical significance of persistent homology features.
Maintained by Jisu Kim. Last updated 1 months ago.
1.9 match 9 stars 7.18 score 204 scripts 5 dependents
predictiveecology
SpaDES.tools:Additional Tools for Developing Spatially Explicit Discrete Event Simulation (SpaDES) Models
Provides GIS and map utilities, plus additional modeling tools for developing cellular automata, dynamic raster models, and agent based models in 'SpaDES'. Included are various methods for spatial spreading, spatial agents, GIS operations, random map generation, and others. See '?SpaDES.tools' for an categorized overview of these additional tools. The suggested package 'NLMR' can be installed from the following repository: (<https://PredictiveEcology.r-universe.dev>).
Maintained by Alex M Chubaty. Last updated 4 months ago.
1.8 match 4 stars 7.55 score 52 scripts 6 dependents
beatrizpateiro
alphashape3d:Implementation of the 3D Alpha-Shape for the Reconstruction of 3D Sets from a Point Cloud
Implementation in R of the alpha-shape of a finite set of points in the three-dimensional space. The alpha-shape generalizes the convex hull and allows to recover the shape of non-convex and even non-connected sets in 3D, given a random sample of points taken into it. Besides the computation of the alpha-shape, this package provides users with functions to compute the volume of the alpha-shape, identify the connected components and facilitate the three-dimensional graphical visualization of the estimated set.
Maintained by Beatriz Pateiro-Lopez. Last updated 2 years ago.
2.0 match 2 stars 5.34 score 82 scripts 5 dependents
andreasdominik
som.nn:Topological k-NN Classifier Based on Self-Organising Maps
A topological version of k-NN: An abstract model is build as 2-dimensional self-organising map. Samples of unknown class are predicted by mapping them on the SOM and analysing class membership of neurons in the neighbourhood.
Maintained by Andreas Dominik. Last updated 12 months ago.
4.3 match 2.40 score 28 scripts
rdinnager
rbff:R Interface to Boundary First Flattening Software (BFF)
Flatten 3D meshes into arbitrary 2D shapes using boundary first flattening (<https://github.com/GeometryCollective/boundary-first-flattening>).
Maintained by Russell Dinnage. Last updated 3 years ago.
3.8 match 5 stars 2.40 score 6 scripts
numbats
woylier:Alternative Tour Frame Interpolation Method
This method generates a tour path by interpolating between d-D frames in p-D using Givens rotations. The algorithm arises from the problem of zeroing elements of a matrix. This interpolation method is useful for showing specific d-D frames in the tour, as opposed to d-D planes, as done by the geodesic interpolation. It is useful for projection pursuit indexes which are not s invariant. See more details in Buj, Cook, Asimov and Hurley (2005) <doi:10.1016/S0169-7161(04)24014-7> and Batsaikhan, Cook and Laa (2023) <doi:10.48550/arXiv.2311.08181>.
Maintained by Dianne Cook. Last updated 6 months ago.
1.9 match 4.60 score 10 scripts
ropensci
grainchanger:Moving-Window and Direct Data Aggregation
Data aggregation via moving window or direct methods. Aggregate a fine-resolution raster to a grid. The moving window method smooths the surface using a specified function within a moving window of a specified size and shape prior to aggregation. The direct method simply aggregates to the grid using the specified function.
Maintained by Laura Graham. Last updated 2 years ago.
1.5 match 52 stars 5.46 score 28 scripts
forestgeo
fgeo.analyze:Analyze ForestGEO Data
To help you access, transform, analyze, and visualize ForestGEO data, we developed a collection of R packages (<https://forestgeo.github.io/fgeo/>). This package, in particular, helps you to implement analyses of plot species distributions, topography, demography, and biomass. It also includes a torus translation test to determine habitat associations of tree species as described by Zuleta et al. (2018) <doi:10.1007/s11104-018-3878-0>. To learn more about ForestGEO visit <https://forestgeo.si.edu/>.
Maintained by Mauro Lepore. Last updated 4 years ago.
abundancedemographyfgeoforestgeo
2.2 match 2 stars 3.48 score 7 scripts 1 dependentsegarpor
polykde:Polyspherical Kernel Density Estimation
Kernel density estimation on the polysphere, hypersphere, and circle. Includes functions for density estimation, regression estimation, ridge estimation, bandwidth selection, kernels, samplers, and homogeneity tests. Companion package to García-Portugués and Meilán-Vila (2024) <doi:10.48550/arXiv.2411.04166> and García-Portugués and Meilán-Vila (2023) <doi:10.1007/978-3-031-32729-2_4>.
Maintained by Eduardo García-Portugués. Last updated 1 months ago.
circular-statisticsdirectional-statisticskernel-smoothingopenblascpp
1.8 match 3.00 score 5 scripts
gabysbrain
optim.functions:Standard Benchmark Optimization Functions
A set of standard benchmark optimization functions for R and a common interface to sample them.
Maintained by Thomas Torsney-Weir. Last updated 8 years ago.
2.3 match 1.70 score 5 scripts
jiri-dvorak
NTSS:Nonparametric Tests in Spatial Statistics
Nonparametric test of independence between a pair of spatial objects (random fields, point processes) based on random shifts with torus or variance correction. See Mrkvička et al. (2021) <doi:10.1016/j.spasta.2020.100430>, Dvořák et al. (2022) <doi:10.1111/insr.12503>, Dvořák and Mrkvička (2022) <arxiv:2210.05424>.
Maintained by Jiří Dvořák. Last updated 2 years ago.
0.5 match 2.70 score