This package provides UI widget and layout functions for writing Shiny apps that work well on small screens.

This package provides a pure Ruby implementation of the RFC 7519 OAuth JWT standard.

Runs PANDA, an algorithm for discovering novel network structure by combining information from multiple complementary data sources.

This package provides functions for analysis of real-time quantitative PCR data at SIRS-Lab GmbH.

R wrapper around the argon HTML library. More at <https://demos.creative-tim.com/argon-design-system/>.

Using of the accelerated line search algorithm for simultaneously diagonalize a set of symmetric positive definite matrices.

Algorithms for fuzzy clustering, cluster validity indices and plots for cluster validity and visualizing fuzzy clustering results.

An interface to the Gmail RESTful API. Allows access to your Gmail messages, threads, drafts and labels.

Carries out integrative clustering analysis using multiple types of genomic dataset using integrative Non-negative Matrix factorization.

This package provides a collection of useful functions and datasets for the Data Science Course at IBAW.

Locally sparse estimator of generalized varying coefficient model for asynchronous longitudinal data by kernel-weighted estimating equation.

Collection of functions to perform fixed and random-effects multivariate and univariate meta-analysis and meta-regression.

Combination of either p-values or modified effect sizes from different studies to find differentially expressed genes.

Retrieve and plot word frequencies through time from the "Google Ngram Viewer" <https://books.google.com/ngrams>.

This package provides functions and data sets for the text Probability and Statistics with R, Second Edition.

Allow sharing sensitive information, for example passwords, API keys, etc., in R packages, using public key cryptography.

Streamlines geographic data transformation, storage and publication, simplifying data preparation and enhancing interoperability across formats and platforms.

This package provides a collection of implementations of classical and novel algorithms for weighted sampling without replacement.

R implementation of Maximum Likelihood Principal Component Analysis The main idea of this package is to have an alternative way of PCA for subspace modeling that considers measurement errors. More details can be found in Peter D. Wentzell (2009) <doi:10.1016/B978-0-444-64165-6.03029-9>.

This package provides the robust gamma rank correlation coefficient as introduced by Bodenhofer, Krone, and Klawonn (2013) <DOI:10.1016/j.ins.2012.11.026> along with a permutation-based rank correlation test. The rank correlation coefficient and the test are explicitly designed for dealing with noisy numerical data.

The handling of an API key (misnomer for password) for protected data can be difficult. This package provides secure convenience functions for entering / handling API keys and pulling data directly into memory. By default it will load from REDCap instances, but other sources are injectable via inversion of control.

This package computes model and semi partial R squared with confidence limits for the linear and generalized linear mixed model (LMM and GLMM). The R squared measure from L. J. Edwards et al. (2008) is extended to the GLMM using penalized quasi-likelihood (PQL) estimation (see Jaeger et al. (2016)).

In order to facilitate parsing of http requests and creating appropriate responses this package provides two classes to handle a lot of the housekeeping involved in working with http exchanges. The infrastructure builds upon the rook specification and is thus well suited to be combined with httpuv based web servers.

This package provides a set of functions to simplify reading data from files. The main function, reader(), should read most common R datafile types without needing any parameters except the filename. Other functions provide simple ways of handling file paths and extensions, and automatically detecting file format and structure.