This package provides a toolkit for Reliability Availability and Maintainability (RAM) modeling of industrial process systems.

This package provides a structured framework for consistent user communication and configuration management for package developers.

Mediation analysis for multiple mediators by penalized structural equation models with different types of penalties depending on whether there are multiple mediators and only one exposure and one outcome variable (using sparse group lasso) or multiple exposures, multiple mediators, and multiple outcome variables (using lasso, L1, penalties).

This package provides algorithms to locate multiple distributional change-points in piecewise stationary time series. The algorithms are provably consistent, even in the presence of long-range dependencies. Knowledge of the number of change-points is not required. The code is written in Go and interfaced with R.

Connect, execute, and parse results from the Daisi Microservice Platform <https://www.daisi.io/>. The rdaisi client includes a set of functionality that allows remote execution of microservices directly from R. Daisis allow R users to access a wide variety of Python functionality and interact with them natively.

It is devoted to the IVIVC linear level A with numerical deconvolution method. The latter is working for inequal and incompatible timepoints between impulse and response curves. A numerical convolution method is also available. Application domains include pharamaceutical industry QA/QC and R&D together with academic research.

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.

This package provides functions and classes for de novo prediction of transcription factor binding consensus by heuristic search.

This package provides an assortment of R functions that is suitable for all types of microbial diversity analyses.

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

This is a package for binomial and Poisson regression for clustered data, fixed and random effects with bootstrapping.

This package provides an interface to use SPARQL to pose SELECT or UPDATE queries to an end-point.

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

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.

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

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

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

Multivariate ARIMA and ARIMA-X estimation using Spliid's algorithm (marima()) and simulation (marima.sim()).

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

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