Create mocked bindings to Shiny update functions within test function calls to automatically update input values. The mocked bindings simulate the communication between the server and UI components of a Shiny module in testServer().
Handle POST requests on a custom path (e.g., /ingress) inside the same shiny HTTP server using user interface functions and HTTP responses. Expose latest payload as a reactive and provide helpers for query parameters.
Offers bathymetric interpolation using Inverse Distance Weighted and Ordinary Kriging via the gstat and terra packages. Other functions focus on quantifying physical aquatic habitats (e.g., littoral, epliminion, metalimnion, hypolimnion) from interpolated digital elevation models (DEMs). Functions were designed to calculate these metrics across water levels for use in reservoirs but can be applied to any DEM and will provide values for fixed conditions. Parameters like Secchi disk depth or estimated photic zone, thermocline depth, and water level fluctuation depth are included in most functions.
We provide functions to perform taxometric analyses. This package contains 46 functions, but only 5 should be called directly by users. CheckData() should be run prior to any taxometric analysis to ensure that the data are appropriate for taxometric analysis. RunTaxometrics() performs taxometric analyses for a sample of data. RunCCFIProfile() performs a series of taxometric analyses to generate a CCFI profile. CreateData() generates a sample of categorical or dimensional data. ClassifyCases() assigns cases to groups using the base-rate classification method.
This package provides simple and crisp publication-quality graphics for the ExPosition family of packages. See An ExPosition of the Singular Value Decomposition in R (Beaton et al 2014) <doi:10.1016/j.csda.2013.11.006>.
Redshank is a collection of code-wrangling Emacs macros mostly geared towards Common Lisp, but some are useful for other Lisp dialects, too. Redshank's code transformations aim to be expression-based (as opposed to character-based).
Python SDK for reporting exceptions, errors, and log messages to Rollbar.
Capabilities include:
Sending messages and exceptions with arbitrary context
Getting back aggregates
Debugging production issues
This package provides Python module to slice a list of sliceables (1 indexed, both start and end index are inclusive). Helps to slice file content line by line or column by column or a combination of both.
This is a plugin to streaming to multiple RTMP servers concurrently. It's able to share encoders with main output of OBS to save CPU power. It can also use standalone encoders with basic configuration (bitrate).
Enables users of ArcGIS Enterprise', ArcGIS Online', or ArcGIS Platform to read, write, publish, or manage vector and raster data via ArcGIS location services REST API endpoints <https://developers.arcgis.com/rest/>.
The bullwhipgame is an educational game that has as purpose the illustration and exploration of the bullwhip effect,i.e, the increase in demand variability along the supply chain. Marchena Marlene (2010) <arXiv:1009.3977>.
This package implements various quality evaluation statistics to assess the value of plant germplasm core collections using qualitative and quantitative phenotypic trait data according to Odong et al. (2015) <doi:10.1007/s00122-012-1971-y>.
This package provides new imputation methods for the mice package based on generalized additive models for location, scale, and shape (GAMLSS) as described in de Jong, van Buuren and Spiess <doi:10.1080/03610918.2014.911894>.
This package provides a class that links matrix-like objects (nodes) by rows or by columns while behaving similarly to a base R matrix. Very large matrices are supported if the nodes are file-backed matrices.
Fit relationship-based and customized mixed-effects models with complex variance-covariance structures using the lme4 machinery. The core computational algorithms are implemented using the Eigen C++ library for numerical linear algebra and RcppEigen glue'.
Dimension reduction for multivariate data of extreme events with a PCA like procedure as described in Reinbott, Janà en, (2024), <doi:10.48550/arXiv.2408.10650>. Tools for necessary transformations of the data are provided.
This package provides tools for working with medical coding schemas such as the International Classification of Diseases (ICD). Includes functions for comorbidity classification algorithms such as the Pediatric Complex Chronic Conditions (PCCC), Charlson, and Elixhauser indices.
Implementation of the sampling and aggregation method for the covariate shift maximin effect, which was proposed in <arXiv:2011.07568>. It constructs the confidence interval for any linear combination of the high-dimensional maximin effect.
This package provides functions to estimate statistical errors of phylogenetic metrics particularly to detect binary trait influence on diversification, as well as a function to simulate trees with fixed number of sampled taxa and trait prevalence.
This package provides drop-in replacements for functions from the stringr package, with the same user interface. These functions have no external dependencies and can be copied directly into your package code using the staticimports package.
Optimized prediction based on textual sentiment, accounting for the intrinsic challenge that sentiment can be computed and pooled across texts and time in various ways. See Ardia et al. (2021) <doi:10.18637/jss.v099.i02>.
Explore and analyse the genealogy of textual or musical traditions, from their variants, with various stemmatological methods, mainly the disagreement-based algorithms suggested by Camps and Cafiero (2015) <doi:10.1484/M.LECTIO-EB.5.102565>.
This package provides a tool for fast, efficient bitwise operations along the elements within a vector. Provides such functionality for AND, OR and XOR, as well as infix operators for all of the binary bitwise operations.
This package contains data and functions that define and allow translation between different chromosome sequence naming conventions (e.g., "chr1" versus "1"), including a function that attempts to place sequence names in their natural, rather than lexicographic, order.