An implementation of Random Forest-based two-sample tests as introduced in Hediger & Michel & Naef (2022).

Simple tools for converting columns to new data types. Intuitive functions for columns with missing values.

This package provides a GUI designed to support the analysis of financial-economic time series data.

R interface to access the web services of the ICES Stock Database <https://sd.ices.dk>.

Uses Bessel functions to calculate the fundamental and complementary analytic solutions to the Kelvin differential equation.

Train and make predictions from a multi-layer perceptron neural network with optional partial monotonicity constraints.

Interface to the Pharmpy pharmacometrics library. The Reticulate package is used to interface Python from R.

This package provides functions to process, format and store ActiGraph GT1M and GT3X accelerometer data.

Package to Percentile estimation of fetal weight for twins by chorionicity (dichorionic-diamniotic or monochorionic-diamniotic).

Allows users to produce diagnostic procedures and graphic tools for the evaluation of Small Area estimators.

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

Statistical functions to identify, estimate and diagnose a Space-Time AutoRegressive Moving Average (STARMA) model.

Build a project framework for users with access to only the most basic of automation tools.

This package provides an application that acts as a GUI for the stm text analysis package.

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).

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.

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.

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

This package provides an interface to the community supported database for amino acid/protein modifications using mass spectrometry.

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

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

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