Explore and analyse the genealogy of textual or musical traditions, from their variants, with various stemmatological methods, mainly the disagreement-based algorithms suggested by Camps and Cafiero (2015) <doi:10.1484/M.LECTIO-EB.5.102565>.

It estimates the parameters of spatio-temporal models with censored or missing data using the SAEM algorithm (Delyon et al., 1999). This algorithm is a stochastic approximation of the widely used EM algorithm and is particularly valuable for models in which the E-step lacks a closed-form expression. It also provides a function to compute the observed information matrix using the method developed by Louis (1982). To assess the performance of the fitted model, case-deletion diagnostics are provided.

Provides R bindings for the Stencila Schema <https://schema.stenci.la>. This package is primarily aimed at R developers wanting to programmatically generate, or modify, executable documents.

A comprehensive logging framework for R applications that provides hierarchical logging levels, database integration, and contextual logging capabilities. The package supports 'SQLite' storage for persistent logs, provides colour-coded console output for better readability, includes parallel processing support, and implements structured error reporting with 'JSON' formatting.

An user-friendly framework to preprocess raw item
             scores of questionnaires into factors or scores and standardize
             them. Standardization can be made either by their normalization
             in representative sample, or by import of premade scoring table.

Starting from a Regression Model, it provides a stepwise 
              procedure to select the linear predictor.

Collection of model estimation, and model plotting functions
    related to the STEPCAM family of community assembly models. STEPCAM is
    a STEPwise Community Assembly Model that infers the relative
    contribution of Dispersal Assembly, Habitat Filtering and Limiting
    Similarity from a dataset consisting of the combination of trait and
    abundance data. See also <doi:10.1890/14-0454.1> for more information.