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r-raster
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public |
Reading, writing, manipulating, analyzing and modeling of gridded spatial data. The package implements basic and high-level functions. Processing of very large files is supported.
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2023-06-16 |
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r-mapview
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public |
Quickly and conveniently create interactive visualisations of spatial data with or without background maps. Attributes of displayed features are fully queryable via pop-up windows. Additional functionality includes methods to visualise true- and false-color raster images, bounding boxes, small multiples and 3D raster data cubes.
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2023-06-16 |
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r-units
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public |
Support for measurement units in R vectors, matrices and arrays: automatic propagation, conversion, derivation and simplification of units; raising errors in case of unit incompatibility. Compatible with the POSIXct, Date and difftime classes. Uses the UNIDATA udunits library and unit database for unit compatibility checking and conversion.
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2023-06-16 |
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r-satellite
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public |
Herein, we provide a broad variety of functions which are useful for handling, manipulating, and visualizing satellite-based remote sensing data. These operations range from mere data import and layer handling (eg subsetting), over Raster* typical data wrangling (eg crop, extend), to more sophisticated (pre-)processing tasks typically applied to satellite imagery (eg atmospheric and topographic correction). This functionality is complemented by a full access to the satellite layers' metadata at any stage and the documentation of performed actions in a separate log file. Currently available sensors include Landsat 4-5 (TM), 7 (ETM+), and 8 (OLI/TIRS Combined), and additional compatibility is ensured for the Landsat Global Land Survey data set. Moreover, support for Terra and Aqua-MODIS as well as PROBA-V is expected to arrive shortly.
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2023-06-16 |
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r-svglite
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public |
A graphics device for R that produces 'Scalable Vector Graphics'. 'svglite' is a fork of the older 'RSvgDevice' package.
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2023-06-16 |
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r-tmaptools
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public |
Set of tools for reading and processing spatial data. The aim is to supply the workflow to create thematic maps. This package also facilitates 'tmap', the package for visualizing thematic maps.
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2023-06-16 |
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torchvision-cpu
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public |
Image and video datasets and models for torch deep learning
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2023-06-16 |
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cgal-swig
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public |
Computational Geometry Algorithms Library
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2023-06-16 |
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r-flexmix
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public |
A general framework for finite mixtures of regression models using the EM algorithm is implemented. The package provides the E-step and all data handling, while the M-step can be supplied by the user to easily define new models. Existing drivers implement mixtures of standard linear models, generalized linear models and model-based clustering.
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2023-06-16 |
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eigen
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public |
Eigen is a C++ template library for linear algebra: matrices, vectors, numerical solvers, and related algorithms.
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2023-06-16 |
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cgal
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public |
Computational Geometry Algorithms Library
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2023-06-16 |
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r-betareg
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public |
Beta regression for modeling beta-distributed dependent variables, e.g., rates and proportions. In addition to maximum likelihood regression (for both mean and precision of a beta-distributed response), bias-corrected and bias-reduced estimation as well as finite mixture models and recursive partitioning for beta regressions are provided.
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2023-06-16 |
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bs4
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public |
Dummy package for Beautiful Soup
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2023-06-16 |
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imagemagick
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public |
Software suite to create, edit, compose, or convert bitmap images.
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2023-06-16 |
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r-ggmap
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public |
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.
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2023-06-16 |
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r-broom.mixed
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public |
Convert fitted objects from various R mixed-model packages into tidy data frames along the lines of the 'broom' package. The package provides three S3 generics for each model: tidy(), which summarizes a model's statistical findings such as coefficients of a regression; augment(), which adds columns to the original data such as predictions, residuals and cluster assignments; and glance(), which provides a one-row summary of model-level statistics.
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2023-06-16 |
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r-tmb
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public |
With this tool, a user should be able to quickly implement complex random effect models through simple C++ templates. The package combines 'CppAD' (C++ automatic differentiation), 'Eigen' (templated matrix-vector library) and 'CHOLMOD' (sparse matrix routines available from R) to obtain an efficient implementation of the applied Laplace approximation with exact derivatives. Key features are: Automatic sparseness detection, parallelism through 'BLAS' and parallel user templates.
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2023-06-16 |
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r-glmmtmb
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public |
Fit linear and generalized linear mixed models with various extensions, including zero-inflation. The models are fitted using maximum likelihood estimation via 'TMB' (Template Model Builder). Random effects are assumed to be Gaussian on the scale of the linear predictor and are integrated out using the Laplace approximation. Gradients are calculated using automatic differentiation.
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2023-06-16 |
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r-mumin
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public |
Tools for performing model selection and model averaging. Automated model selection through subsetting the maximum model, with optional constraints for model inclusion. Model parameter and prediction averaging based on model weights derived from information criteria (AICc and alike) or custom model weighting schemes.
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2023-06-16 |
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r-remef
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public |
Provides tools for removing partial effects from data. Allows preparing data for focussing on a subset of effects in complex statistical models. Finds associated effects of lower or higher order for a given term or coefficient.
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2023-06-16 |
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povray
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public |
POVRAY ray tracing
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2023-06-16 |
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oniguruma
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public |
Oniguruma is a modern and flexible regular expressions library.
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2023-06-16 |
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jq
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public |
jq is a lightweight and flexible command-line JSON processor.
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2023-06-16 |
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r-batchtools
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public |
As a successor of the packages 'BatchJobs' and 'BatchExperiments', this package provides a parallel implementation of the Map function for high performance computing systems managed by schedulers 'IBM Spectrum LSF' (<https://www.ibm.com/us-en/marketplace/hpc-workload-management>), 'OpenLava' (<http://www.openlava.org/>), 'Univa Grid Engine'/'Oracle Grid Engine' (<http://www.univa.com/>), 'Slurm' (<http://slurm.schedmd.com/>), 'TORQUE/PBS' (<http://www.adaptivecomputing.com/products/open-source/torque/>), or 'Docker Swarm' (<https://docs.docker.com/swarm/>). A multicore and socket mode allow the parallelization on a local machines, and multiple machines can be hooked up via SSH to create a makeshift cluster. Moreover, the package provides an abstraction mechanism to define large-scale computer experiments in a well-organized and reproducible way.
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2023-06-16 |
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r-progress
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public |
Configurable Progress bars, they may include percentage, elapsed time, and/or the estimated completion time. They work in terminals, in 'Emacs' 'ESS', 'RStudio', 'Windows' 'Rgui' and the 'macOS' 'R.app'. The package also provides a 'C++' 'API', that works with or without 'Rcpp'.
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2023-06-16 |
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r-base64url
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public |
In contrast to RFC3548, the 62nd character ("+") is replaced with "-", the 63rd character ("/") is replaced with "_". Furthermore, the encoder does not fill the string with trailing "=". The resulting encoded strings comply to the regular expression pattern "[A-Za-z0-9_-]" and thus are safe to use in URLs or for file names. The package also comes with a simple base32 encoder/decoder suited for case insensitive file systems.
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2023-06-16 |
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r-fs
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public |
A cross-platform interface to file system operations, built on top of the 'libuv' C library.
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2023-06-16 |
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tflearn
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public |
Deep Learning Library featuring a higher-level API for TensorFlow
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2023-06-16 |
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nibabel
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public |
Access a multitude of neuroimaging data formats
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2023-06-16 |
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scoop
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public |
Scalable COncurrent Operations in Python
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2023-06-16 |
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pyezminc
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public |
Toolkit for processing MRI scans
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2023-06-16 |
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pyminc
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public |
Python interface to libminc
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2023-06-16 |
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r-openstreetmap
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public |
Accesses high resolution raster maps using the OpenStreetMap protocol. Dozens of road, satellite, and topographic map servers are directly supported, including Apple, Mapnik, Bing, and stamen. Additionally raster maps may be constructed using custom tile servers. Maps can be plotted using either base graphics, or ggplot2. This package is not affiliated with the OpenStreetMap.org mapping project.
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2023-06-16 |
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r-httr
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public |
Useful tools for working with HTTP organised by HTTP verbs (GET(), POST(), etc). Configuration functions make it easy to control additional request components (authenticate(), add_headers() and so on).
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2023-06-16 |
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r-geosphere
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public |
Spherical trigonometry for geographic applications. That is, compute distances and related measures for angular (longitude/latitude) locations.
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2023-06-16 |
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r-rgooglemaps
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public |
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.
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2023-06-16 |
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r-data.tree
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public |
Create tree structures from hierarchical data, and traverse the tree in various orders. Aggregate, cumulate, print, plot, convert to and from data.frame and more. Useful for decision trees, machine learning, finance, conversion from and to JSON, and many other applications.
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2023-06-16 |
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r-spdatalarge
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public |
Large datasets for spatial analysis.
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2023-06-16 |
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colorlog
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public |
Log formatting with colors!
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2023-06-16 |
