Find out about keys that are ignored when deserializing data. This crate provides a wrapper that works with any existing Serde Deserializer and invokes a callback on every ignored field.

The main aim of this package is to work on lists, especially with random operations. The hidden aim is to build a personal collection of exercises with different data for each pupil.

The randomwalk package provides a user command, \RandomWalk, to draw random walks with a given number of steps. Lengths and angles of the steps can be customized in various ways.

The client streamlines access to the services provided by <https://api.openrouteservice.org>. It allows you to painlessly query for directions, isochrones, time-distance matrices, geocoding, elevation, points of interest, and more.

This package provides a native Rust encoder and decoder of TOML-formatted files and streams. Provides implementations of the standard Serialize/Deserialize traits for TOML data to facilitate deserializing and serializing Rust structures.

This package provides a Python library that is an implementation of traditional readability measures based on simple surface characteristics. These measures are basically linear regressions based on the number of words, syllables, and sentences.

An end-to-end framework that enables users to implement various descriptive studies for a given set of target and outcome cohorts for data mapped to the Observational Medical Outcomes Partnership Common Data Model.

Subset and download data from EU Copernicus Marine Service Information: <https://data.marine.copernicus.eu>. Import data on the oceans physical and biogeochemical state from Copernicus into R without the need of external software.

Generation of a chosen number of count, binary, ordinal, and continuous random variables, with specified correlations and marginal properties. The details of the method are explained in Demirtas (2012) <DOI:10.1002/sim.5362>.

Identifies individuals in a social network who should be the intervention subjects for a network intervention in which you have a group of targets, a group of avoiders, and a group that is neither.

Benchmark-ips enhances the Ruby Benchmark module with the iterations per second count. For short snippets of code, it can automatically figure out how many times to run the code to get interesting data.

The recipecard class typesets recipes into note card sized boxes that can then be cut out and pasted on to note cards. The recipe then looks elegant and fits in the box of recipes.

This package provides functions for clustering regions that form convergence clubs, according to the definition of Phillips and Sul (2009) <doi:10.1002/jae.1080>. A package description is available in Sichera and Pizzuto (2019).

Finds subsets of sets of genotypes with a high Heterozygosity, and Mean of Transformed Kinships (MTK), measures that can indicate a subset would be beneficial for rare-trait discovery and genome-wide association scanning, respectively.

This package provides traits which describe the functionality of password hashing algorithms, as well as a `no_std`-friendly implementation of the PHC string format (a well-defined subset of the Modular Crypt Format (MCF).

This package provides traits which describe the functionality of password hashing algorithms, as well as a `no_std`-friendly implementation of the PHC string format (a well-defined subset of the Modular Crypt Format (MCF).

This package provides traits which describe the functionality of password hashing algorithms, as well as a `no_std`-friendly implementation of the PHC string format (a well-defined subset of the Modular Crypt Format (MCF).

This package provides traits which describe the functionality of password hashing algorithms, as well as a `no_std`-friendly implementation of the PHC string format (a well-defined subset of the Modular Crypt Format (MCF).

This package provides resynthesizer plugins for GIMP, which encompasses tools for healing selections (content-aware fill), enlarging the canvas and healing the border, increasing the resolution while adding detail, and transferring the style of an image.

Adds menu items to the R Commander for implementing case 1 (object case) best-worst scaling (BWS1) from designing choice sets to measuring preferences for items. BWS1 is a question-based survey method that constructs various combinations of items (choice sets) using the experimental designs, asks respondents to select the best and worst items in each choice set, and then measures preferences for the items by analyzing the responses. For details, refer to Aizaki and Fogarty (2023) <doi:10.1016/j.jocm.2022.100394>.

This package provides several data sets for use with discrete statistical tests and discrete multiple testing procedures. Some of them are also available as a four-column version, so that each row represents a 2x2 table.

This package contains the implementation of a binary large margin classifier based on Gabriel Graph. References for this method can be found in L.C.B. Torres et al. (2015) <doi:10.1049/el.2015.1644>.

Interact with the Google Analytics APIs <https://developers.google.com/analytics/>, including the Core Reporting API (v3 and v4), Management API, User Activity API GA4's Data API and Admin API and Multi-Channel Funnel API.

This package implements multiple consistent scoring functions (Gneiting T (2011) <doi:10.1198/jasa.2011.r10138>) for assessing point forecasts and point predictions. Detailed documentation of scoring functions properties is included for facilitating interpretation of results.