This package provides a model agnostic tool for white-box model trained on features extracted from a black-box model. For more information see: Gosiewska et al. (2020) <doi:10.1016/j.dss.2021.113556>.

This package provides functions from the book "Reinsurance: Actuarial and Statistical Aspects" (2017) by Hansjoerg Albrecher, Jan Beirlant and Jef Teugels <https://www.wiley.com/en-us/Reinsurance%3A+Actuarial+and+Statistical+Aspects-p-9780470772683>.

An implementation of robust bent line regression. It can fit the bent line regression and test the existence of change point, for the paper, "Feipeng Zhang and Qunhua Li (2016). Robust bent line regression, submitted.".

This package implements various algorithms for inferring mutual information networks from data.

This package provides tools to analyze and visualize Illumina Infinium methylation arrays.

This package provides chronological R objects which can handle dates and times.

Rpcbind is a server that converts RPC program numbers into universal addresses.

An R package to build, validate and apply absolute risk models.

Package for the position related analysis of quantitative functional genomics data.

Demonstrate tokenization and a search gadget for collections of CSV files.

Fit Bayesian models with a focus on the spatial econometric models.

Fitting and inference functions for generalized linear models with constrained coefficients.

This package provides functions for completing and recalculating rankings and sorting.

Dominance analysis relative importance methods that are intended for predictive models.

Differential partial correlation identification with the ridge and the fusion penalties.

Edit vectors to fill missing values, based on the vector itself.

Feature subset selection algorithms modularized in search algorithms and measure utilities.

To calculate the relative risk (RR) for the generalized additive model.

Test the significance of coefficients in high dimensional generalized linear models.

Calculate various information criteria in literature for "lm" and "glm" objects.

Makes visually pleasing diagrams of knot projections using optimized Bezier curves.

This package provides S3 classes to represent low rank matrix decompositions.

Read, register and compare point sets from single molecule localization microscopy.

Data sets and scripts for Modeling Psychophysical Data in R (Springer).