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 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>.

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.

This package creates Vertex Similarity matrix of an undirected graph based on the method stated by E. A. Leicht, Petter Holme, AND M. E. J. Newman in their paper <DOI:10.1103/PhysRevE.73.026120>.

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 new types of omnibus tests which are generally much more powerful than traditional tests (including the Kolmogorov-Smirnov, Cramer-von Mises and Anderson-Darling tests),see Zhang (2002) <doi:10.1111/1467-9868.00337>.

This package provides a non-parametric effect size measure capturing changes in central tendency or shape of data distributions. The package provides the necessary functions to calculate and plot the Impact effect size measure between two groups.

Regression analysis of mixed sparse synchronous and asynchronous longitudinal covariates. Please cite the manuscripts corresponding to this package: Sun, Z. et al. (2023) <arXiv:2305.17715> and Liu, C. et al. (2023) <arXiv:2305.17662>.

An implementation of the Weighted Portmanteau Tests described in "New Weighted Portmanteau Statistics for Time Series Goodness-of-Fit Testing" published by the Journal of the American Statistical Association, Volume 107, Issue 498, pages 777-787, 2012.

This package provides a set of predicates and assertions for checking the properties of models. This is mainly for use by other package developers who want to include run-time testing features in their own packages.

The package provides macros and environments that relieve the programmer of some of the difficulties of using \parshape in LaTeX macros. It does not actually calculate shapes in the way that the shapepar package does.

This package performs AnchorRegression proposed by Rothenhäusler et al. 2020. The code is adapted from the original paper repository. (<https://github.com/rothenhaeusler/anchor-regression>) The code was developed independently from the authors of the paper.

Design and use of control charts for detecting mean changes based on a delayed updating of the in-control parameter estimates. See Capizzi and Masarotto (2019) <doi:10.1080/00224065.2019.1640096> for the description of the method.

This package provides an example HiC dataset and two examples of HiCociety outputs from a function named hic2community(). The data are intended for demonstration purposes only and kept small enough to be distributed via CRAN.

Takes a list of character strings and forms an adjacency matrix for the times the specified characters appear together in the strings provided. For use in social network analysis and data wrangling. Simple package, comprised of three functions.

Helper functions for creating, editing, and testing tutorials created with the learnr package. Provides a simple method for allowing students to download their answers to tutorial questions. For examples of its use, see the r4ds.tutorials package.

This package provides an Emacs mode for automatically resizing the window that has main focus to be more convenient for editing, while the ones that are not being actively edited will be reduced to a smaller size.

This library provides a number of PDF::Reader based tools for use in testing PDF output. Presently, the primary purpose of this tool is to support the tests found in Prawn, a pure Ruby PDF generation library.

This package provides an interface to the ClinicalOmicsDB API, allowing for easy data downloading and importing. ClinicalOmicsDB is a database of clinical and omics data from cancer patients. The database is accessible at <http://trials.linkedomics.org>.