ducorey
by DuCorey
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Packages
| Name | Latest Version | Summary | Updated | License |
|---|
| r-astsa | 1.9 | Data sets and scripts to accompany Time Series Analysis and Its Applications: With R Examples (4th ed), by R.H. Shumway and D.S. Stoffer. Springer Texts in Statistics, 2017, <DOI:10.1007/978-3-319-52452-8>, and Time Series: A Data Analysis Approach Using R. Chapman-Hall, 2019, <ISBN: 978-0367221096>. | Mar 25, 2025 | GPL-3 |
| 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-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-clue | 0.3_56 | CLUster Ensembles. | Mar 25, 2025 | GPL-2 |
| 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-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-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-fastknn | 0.0.1 | Compute labels for a test set according to the k-Nearest Neighbors classification. This is a fast way to do k-Nearest Neighbors classification because the distance matrix -between the features of the observations- is an input to the function rather than being calculated in the function itself every time. | Mar 25, 2025 | GPL-3 |
| 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-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-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 |
| 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-greybox | 0.3.1 | Implements functions and instruments for regression model building and its application to forecasting. The main scope of the package is in variables selection and models specification for cases of time series data. This includes promotional modelling, selection between different dynamic regressions with non-standard distributions of errors, selection based on cross validation, solutions to the fat regression model problem and more. Models developed in the package are tailored specifically for forecasting purposes. So as a results there are several methods that allow producing forecasts from these models and visualising them. | 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-kableextra | 1.1.0 | Build complex HTML or 'LaTeX' tables using 'kable()' from 'knitr' and the piping syntax from 'magrittr'. Function 'kable()' is a light weight table generator coming from 'knitr'. This package simplifies the way to manipulate the HTML or 'LaTeX' codes generated by 'kable()' and allows users to construct complex tables and customize styles using a readable syntax. | Mar 25, 2025 | MIT + file LICENSE |
| r-lamw | 1.3.0 | Implements both real-valued branches of the Lambert-W function, also known as the product logarithm, without the need for installing the entire GSL. | Mar 25, 2025 | BSD_2_clause + file LICENSE |
| 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-longitudinaldata | 2.4.1 | Tools for longitudinal data and joint longitudinal data (used by packages kml and kml3d). | Mar 25, 2025 | GPL (>= 2) |
| r-mapa | 2.0.4 | Functions and wrappers for using the Multiple Aggregation Prediction Algorithm (MAPA) for time series forecasting. MAPA models and forecasts time series at multiple temporal aggregation levels, thus strengthening and attenuating the various time series components for better holistic estimation of its structure. For details see Kourentzes et al. (2014) <doi:10.1016/j.ijforecast.2013.09.006>. | Mar 25, 2025 | GPL (>= 2) |
| r-mapdata | 2.3.0 | Supplement to maps package, providing the larger and/or higher-resolution databases. | Mar 25, 2025 | GPL-2 |
| r-misc3d | 0.8_4 | A collection of miscellaneous 3d plots, including isosurfaces. | Mar 25, 2025 | GPL |
| 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-pdist | 1.2 | Computes the euclidean distance between rows of a matrix X and rows of another matrix Y. Previously, this could be done by binding the two matrices together and calling 'dist', but this creates unnecessary computation by computing the distances between a row of X and another row of X, and likewise for Y. pdist strictly computes distances across the two matrices, not within the same matrix, making computations significantly faster for certain use cases. | Mar 25, 2025 | GPL |
| 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 |