Statistical Methods and Models for Claims Reserving in General Insurance

Various statistical methods and models which are typically used for the estimation of outstanding claims reserves in general insurance, including those to estimate the claims development result as required under Solvency II.

Interaction with "RevBayes" in R

Interaction with "RevBayes" via R. Objects created in "RevBayes" can be passed into the R environment, and many types can be converted into similar R objects. To download "RevBayes", go to < https://revbayes.github.io/download>.

Bayesian Statistical Tools for Quantitative Proteomics

Bayesian toolbox for quantitative proteomics. In particular, this package provides functions to generate synthetic datasets, execute Bayesian differential analysis methods, and display results as, described in the associated article Marie Chion and Arthur Leroy (2023) .

Bayesian Latent Class Analysis

Bayesian Latent Class Analysis using several different methods.

Communication Between Editor and Viewer for Literate Programs

This utility eases the debugging of literate documents ('noweb' files) by patching the synchronization information (the '.synctex(.gz)' file) produced by 'pdflatex' with concordance information produced by 'Sweave' or 'knitr' and 'Sweave' or 'knitr' ; this allows for bilateral communication between a text editor (visualizing the 'noweb' source) and a viewer (visualizing the resultant 'PDF'), thus bypassing the intermediate 'TeX' file.

The Conditional Probability Function of a Competing Event

Permits to estimate the conditional probability function of a competing event, and to fit, using the temporal process regression or the pseudo-value approach, a proportional-odds model to the conditional probability function (or other models by specifying another link function). See .

Regularized and Sparse Generalized Canonical Correlation Analysis for Multiblock Data

Multi-block data analysis concerns the analysis of several sets of variables (blocks) observed on the same group of individuals. The main aims of the RGCCA package are: to study the relationships between blocks and to identify subsets of variables of each block which are active in their relationships with the other blocks. This package allows to (i) run R/SGCCA and related methods, (ii) help the user to find out the optimal parameters for R/SGCCA such as regularization parameters (tau or sparsity), (iii) evaluate the stability of the RGCCA results and their significance, (iv) build predictive models from the R/SGCCA. (v) Generic print() and plot() functions apply to all these functionalities.

Branding, Theme Application and Navigation Utilities for 'bs4Dash' Dashboards

Provides branding, theme application, and navigation utilities for applications built with 'bs4Dash' and 'shiny'. Supports configurable sidebar brand display modes, hover-expand behavior, and theme customization using CSS variables. Includes standardized navigation components such as refresh and help controls, along with helpers for common navigation bar and footer layouts.

Animated Glass-Style Tabs and Multi-Select Filter for 'Shiny'

Tools for creating animated glassmorphism-style tab navigation and multi-select dropdown filters in 'shiny' applications. The package provides a tab navigation component and a searchable multi-select widget with multiple checkbox indicator styles, select-all controls, and customizable colour themes. The widgets are compatible with standard 'shiny' layouts and 'bs4Dash' dashboards.

Print Directory Trees for R Projects and Folders

Provides tools to print a compact, readable directory tree for a folder or project. The package can automatically detect common project roots (e.g., 'RStudio' '.Rproj' files) and formats output for quick inspection of code and data organization. It supports typical tree customizations such as limiting depth, excluding files using ignore patterns, and producing clean, aligned text output suitable for console use, reports, and reproducible documentation. A snapshot helper can also render the tree output to a PNG image for sharing in issues, teaching material, or project documentation.