ducorey
by DuCorey
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Packages
| Name | Latest Version | Summary | Updated | License |
|---|
| r-clv | 0.3_2.1 | Package contains most of the popular internal and external cluster validation methods ready to use for the most of the outputs produced by functions coming from package "cluster". Package contains also functions and examples of usage for cluster stability approach that might be applied to algorithms implemented in "cluster" package as well as user defined clustering algorithms. | Mar 25, 2025 | GPL (>= 2) |
| r-dtwclust | 5.5.0 | Time series clustering along with optimized techniques related to the Dynamic Time Warping distance and its corresponding lower bounds. Implementations of partitional, hierarchical, fuzzy, k-Shape and TADPole clustering are available. Functionality can be easily extended with custom distance measures and centroid definitions. Implementations of DTW barycenter averaging, a distance based on global alignment kernels, and the soft-DTW distance and centroid routines are also provided. All included distance functions have custom loops optimized for the calculation of cross-distance matrices, including parallelization support. Several cluster validity indices are included. | Mar 25, 2025 | GPL-3 |
| r-proxy | 0.4_22 | Provides an extensible framework for the efficient calculation of auto- and cross-proximities, along with implementations of the most popular ones. | Mar 25, 2025 | GPL-2 |
| r-dtw | 1.20_1 | A comprehensive implementation of dynamic time warping (DTW) algorithms in R. DTW computes the optimal (least cumulative distance) alignment between points of two time series. Common DTW variants covered include local (slope) and global (window) constraints, subsequence matches, arbitrary distance definitions, normalizations, minimum variance matching, and so on. Provides cumulative distances, alignments, specialized plot styles, etc. | Mar 25, 2025 | GPL (>= 2) |
| r-splus2r | 1.2_2 | Currently there are many functions in S-PLUS that are missing in R. To facilitate the conversion of S-PLUS packages to R packages, this package provides some missing S-PLUS functionality in R. | Mar 25, 2025 | GPL-2 |
| r-ifultools | 2.0_4 | Insightful Research Tools. | Mar 25, 2025 | GPL-2 |
| r-imputets | 2.7 | Imputation (replacement) of missing values in univariate time series. Offers several imputation functions and missing data plots. Available imputation algorithms include: 'Mean', 'LOCF', 'Interpolation', 'Moving Average', 'Seasonal Decomposition', 'Kalman Smoothing on Structural Time Series models', 'Kalman Smoothing on ARIMA models'. | Mar 25, 2025 | GPL-3 |
| r-pdc | 1.0.3 | Permutation Distribution Clustering is a clustering method for time series. Dissimilarity of time series is formalized as the divergence between their permutation distributions. The permutation distribution was proposed as measure of the complexity of a time series. | Mar 25, 2025 | GPL (>= 3) |
| r-locpol | 0.7_0 | Computes local polynomial estimators for the regression and also density. It comprises several different utilities to handle kernel estimators. | Mar 25, 2025 | GPL (>= 2) |
| r-misc3d | 0.8_4 | A collection of miscellaneous 3d plots, including isosurfaces. | Mar 25, 2025 | GPL |
| r-longitudinaldata | 2.4.1 | Tools for longitudinal data and joint longitudinal data (used by packages kml and kml3d). | Mar 25, 2025 | GPL (>= 2) |
| r-wmtsa | 2.0_3 | Software to book Wavelet Methods for Time Series Analysis, Donald B. Percival and Andrew T. Walden, Cambridge University Press, 2000. | Mar 25, 2025 | GPL-2 |
| r-tsclust | 1.2.4 | A set of measures of dissimilarity between time series to perform time series clustering. Metrics based on raw data, on generating models and on the forecast behavior are implemented. Some additional utilities related to time series clustering are also provided, such as clustering algorithms and cluster evaluation metrics. | Mar 25, 2025 | GPL-2 |
| r-rcppparallel | 4.4.1 | High level functions for parallel programming with 'Rcpp'. For example, the 'parallelFor()' function can be used to convert the work of a standard serial "for" loop into a parallel one and the 'parallelReduce()' function can be used for accumulating aggregate or other values. | Mar 25, 2025 | GPL-2 |
| r-clue | 0.3_56 | CLUster Ensembles. | Mar 25, 2025 | GPL-2 |
| r-stinepack | 1.4 | A consistently well behaved method of interpolation based on piecewise rational functions using Stineman's algorithm. | Mar 25, 2025 | GPL-2 |
| r-ggrepel | 0.8.0 | Provides text and label geoms for 'ggplot2' that help to avoid overlapping text labels. Labels repel away from each other and away from the data points. | Mar 25, 2025 | GPL-3 | file LICENSE |
| r-flexclust | 1.3_5 | The main function kcca implements a general framework for k-centroids cluster analysis supporting arbitrary distance measures and centroid computation. Further cluster methods include hard competitive learning, neural gas, and QT clustering. There are numerous visualization methods for cluster results (neighborhood graphs, convex cluster hulls, barcharts of centroids, ...), and bootstrap methods for the analysis of cluster stability. | Mar 25, 2025 | GPL-2 |
| r-rspectra | 0.13_1 | R interface to the 'Spectra' library <https://spectralib.org/> for large-scale eigenvalue and SVD problems. It is typically used to compute a few eigenvalues/vectors of an n by n matrix, e.g., the k largest eigenvalues, which is usually more efficient than eigen() if k << n. This package provides the 'eigs()' function that does the similar job as in 'Matlab', 'Octave', 'Python SciPy' and 'Julia'. It also provides the 'svds()' function to calculate the largest k singular values and corresponding singular vectors of a real matrix. The matrix to be computed on can be dense, sparse, or in the form of an operator defined by the user. | Mar 25, 2025 | MPL (>= 2) |
| r-bigmemory.sri | 0.1.3 | This package provides a shared resource interface for the bigmemory and synchronicity packages. | Mar 25, 2025 | LGPL-3 | Apache License 2.0 |
| r-bigmemory | 4.5.33 | Create, store, access, and manipulate massive matrices. Matrices are allocated to shared memory and may use memory-mapped files. Packages 'biganalytics', 'bigtabulate', 'synchronicity', and 'bigalgebra' provide advanced functionality. | Mar 25, 2025 | LGPL-3 | Apache License 2.0 |
| r-tsdist | 3.4 | A set of commonly used distance measures and some additional functions which, although initially not designed for this purpose, can be used to measure the dissimilarity between time series. These measures can be used to perform clustering, classification or other data mining tasks which require the definition of a distance measure between time series. | Mar 25, 2025 | GPL (>= 2) |
| r-geosphere | 1.5_7 | Spherical trigonometry for geographic applications. That is, compute distances and related measures for angular (longitude/latitude) locations. | Mar 25, 2025 | GPL (>= 3) |
| r-rgooglemaps | 1.4.2 | Serves two purposes: (i) Provide a comfortable R interface to query the Google server for static maps, and (ii) Use the map as a background image to overlay plots within R. This requires proper coordinate scaling. | Mar 25, 2025 | GPL |
| r-ggmap | 2.6.1 | A collection of functions to visualize spatial data and models on top of static maps from various online sources (e.g Google Maps and Stamen Maps). It includes tools common to those tasks, including functions for geolocation and routing. | Mar 25, 2025 | GPL-2 |