Indices, heuristics, simulations and strategies to help determine the number of factors/components to retain in exploratory factor analysis and principal component analysis.
This package provides a cross-platform interface to prevent the operating system from going to sleep while long-running R tasks are executing.
Maximum homogeneity clustering algorithm for one-dimensional data described in W. D. Fisher (1958) <doi:10.1080/01621459.1958.10501479> via dynamic programming.
This package provides a collection of aesthetically appealing color palettes for effective data visualization with ggplot2'. Palettes support both discrete and continuous data.
This package provides functions to estimate and plot smooth or linear population trends, or population indices, from animal or plant count survey data.
This package provides functions to get prediction intervals and prediction points of future observations from mixture distributions like gamma, beta, Weibull and normal.
Enable users to measure and record the execution time of pipe operations (using |>) with optional logging to dataframes and output to the console.
This package provides a range of quadratic forms are evaluated, using efficient methods. Unnecessary transposes are not performed. Complex values are handled consistently.
Isolation forest is anomaly detection method introduced by the paper Isolation based Anomaly Detection (Liu, Ting and Zhou <doi:10.1145/2133360.2133363>).
Interface to Sudachi <https://github.com/WorksApplications/Sudachi>, a Japanese morphological analyzer. This is a port of what is available in Python.
Perform test to detect differences in structure between families of trees. The method is based on cophenetic distances and aggregated Student's tests.
Tracks parameter value, gradient, and Hessian at each iteration of numerical optimizers. Useful for analyzing optimization progress, diagnosing issues, and studying convergence behavior.
Takes screenshots of web pages, including Shiny applications and R Markdown documents. webshot2 uses headless Chrome or Chromium as the browser back-end.
Calculates intra-regional and inter-regional similarities based on user-provided spatial vector objects (regions) and spatial raster objects (cells with values). Implemented metrics include inhomogeneity, isolation (Haralick and Shapiro (1985) <doi:10.1016/S0734-189X(85)90153-7>, Jasiewicz et al. (2018) <doi:10.1016/j.cageo.2018.06.003>), and distinction (Nowosad (2021) <doi:10.1080/13658816.2021.1893324>).
Connects dataframes/tables with a remote data source. Raw data downloaded from the data source can be further processed and transformed using data preparation code that is also baked into the dataframe/table. Refreshable dataframes can be shared easily (e.g. as R data files). Their users do not need to care about the inner workings of the data update mechanisms.
This package implements the fast iterative shrinkage-thresholding algorithm (FISTA) algorithm to fit a Gamma distribution with an elastic net penalty as described in Chen, Arakvin and Martin (2018) <doi:10.48550/arXiv.1804.07780>. An implementation for the case of the exponential distribution is also available, with details available in Chen and Martin (2018) <doi:10.2139/ssrn.3085672>.
This package provides methods for fast computation of running sample statistics for time series. These include: (1) mean, (2) standard deviation, and (3) variance over a fixed-length window of time-series, (4) correlation, (5) covariance, and (6) Euclidean distance (L2 norm) between short-time pattern and time-series. Implemented methods utilize Convolution Theorem to compute convolutions via Fast Fourier Transform (FFT).
Display spatial data with interactive maps powered by the open- source JavaScript library Leaflet (see <https://leafletjs.com/>). Maps can be rendered in a web browser or displayed in the HTML viewer pane of RStudio'. This package is designed to be easy to use and can create complex maps with vector and raster data, web served map tiles and interface elements.
Uses convolution-based techniques to generate simulated camera bokeh, depth of field, and other camera effects, using an image and an optional depth map. Accepts both filename inputs and in-memory array representations of images and matrices. Includes functions to perform 2D convolutions, reorient and resize images/matrices, add image and text overlays, generate camera vignette effects, and add titles to images.
Building interactive web applications with R is incredibly easy with Shiny. Behind the scenes, Shiny builds a reactive graph that can quickly become intertwined and difficult to debug. The reactlog package provides a visual insight into that black box of Shiny reactivity by constructing a directed dependency graph of the application's reactive state at any time point in a reactive recording.
This package uses the source code of zlib-1.2.5 to create libraries for systems that do not have these available via other means.
Rapidcheck is a property based testing framework for C++. It works by generating random data to try and find a case breaks your given pre-condition.
This package provides an improved heatmap package. It is completely compatible with the original R function heatmap, and provides more powerful and convenient features.
This package provides statistical procedures for calculating population-mean cosinor, non-stationary cosinor, estimation of best-fitting period, tests of population rhythm differences and more.