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ggiraphAlluvial - Interactive Alluvial Geoms for 'ggplot2' Using 'ggiraph'

Provides interactive extensions of alluvial geoms from the 'ggalluvial' package for use with 'ggiraph'. The package enables tooltips, hover effects, and clickable elements for alluvial plots created with 'ggplot2', making it easier to explore categorical flow data in interactive visualizations.

Last updated

3.00 score 3 scripts

ggiraphAlluvial - Interactive Alluvial Geoms for 'ggplot2' Using 'ggiraph'

Provides interactive extensions of alluvial geoms from the 'ggalluvial' package for use with 'ggiraph'. The package enables tooltips, hover effects, and clickable elements for alluvial plots created with 'ggplot2', making it easier to explore categorical flow data in interactive visualizations.

Last updated

3.00 score 3 scripts

mvTargetOpt - Multivariate multi-target optimization

Multi-objective optimization algorithm. A new approach, using ideas from PCA dimension reduction and PLS regression.

Last updated

2.70 score 1 stars

PUcopula - Structures and functions for partition of unity copulas

Structures for creating some types of partition of unity copula. Based on joint work with Dietmar Pfeifer and Olena Ragulina.

Last updated

copula-modelsmultivariate-distributionssynthetic-data

2.48 score 2 dependents

dsDashboard - Dashboard Framework for DataSHIELD Applications

Provides a framework for building interactive dashboards in R. The package is designed to support data analysis both on local data and on data on a DataSHIELD server.

Last updated

2.30 score 1 scripts

dsPUcopula - DataSHIELD Server Functions for Partition-of-Unity Copula Based Synthesis

Implements the server-side components required to generate privacy-protecting synthetic data in the DataSHIELD infrastructure. The package orchestrates the preprocessing, copula fitting, synthetic data generation and privacy scoring workflows by combining R and Python tooling.

Last updated

2.18 score 1 scripts

pediatric.zcalc - Z-Score Calculator for Biomarkers: Childhood to Young Adulthood

Provides tools to compute individual percentile ranks and z-scores for clinical biomarkers in children, adolescents and young adults, based on age-, sex-, and height-specific reference data from the IDEFICS (Identification and prevention of Dietary and lifestyle-induced health EFfects In Children and infantS) study and the Biomarkers4Pediatrics collaboration. Supports the computation of a composite Metabolic Syndrome (MetS) score and associated monitoring/action levels for health monitoring. For more details see Ahrens et al. (2014) <doi:10.1038/ijo.2014.130>.

Last updated

1.70 score

PUcopulaSynth - Partition-of-Unity Copula Fitting and Synthesis for R

Fit multivariate distributions using a Partition-of-Unity copula dependence structure, estimate marginals, and generate synthetic data with factor pre/post-processing.

Last updated

1.70 score

dsPUcopulaClient - Client Utilities for Partition-of-Unity Copula Modelling in DataSHIELD

Provides client-side helper functions for interacting with the dsPUcopula DataSHIELD server package. The helpers wrap the remote procedures for fitting partition-of-unity copula models, estimating marginal distributions, simulating copula-based samples and retrieving synthetic data in a privacy-preserving manner.

Last updated

1.70 score 1 scripts

mvInterpolation - Performs interpolation in multidimensional settings

This package implements multivariate extensions of the interpolation algorithms from Shepard, Donald (1968): "A two-dimensional interpolation function for irregularly-spaced data". Proceedings of the 1968 ACM National Conference. pp. 517<96>524. doi:10.1145/800186.810616.

Last updated

1.70 score

mvGoF - Assessing a multivariate goodness of fit

Functions for the computation of several goodness of fit statistics. Currently impemented are multivariate versions of well known EDF statistics: The Anderson-Darling and Cramer-von Mises statistics for multivariate uniformly(0,1) distributed data and the bivariate Kolmogorov- Smirnov statistic for (0,1) distributed data. Further Rosenblatt's transformation for multivariate normally distributed data is implemented, such that these tests can be applied as a test for normality.

Last updated

1.00 score 1 stars