Allow to visualise data on the NCBI phylogenetic tree as presented in Lifemap <https://lifemap.cnrs.fr/>. It takes as input a dataframe with at least a "taxid" column containing NCBI format TaxIds and allows to draw multiple layers with different visualisation tools.

Calculates insurance reserves and equivalence premiums using advanced numerical methods, including the Runge-Kutta algorithm and product integrals for transition probabilities. This package is useful for actuarial analyses and life insurance modeling, facilitating accurate financial projections.

A suite of tools to use the 'eBird' database 
    (<https://ebird.org/home/>) and APIs to compare users' species lists to 
    recent observations and create a report of the top sites to visit to see 
    new species.

Life and Fertility Tables are appropriate to study the dynamics of 
    arthropods populations. This package provides utilities for constructing
    Life Tables and Fertility Tables, related demographic parameters, and some
    simple graphs of interest. It also offers functions to transform the
    obtained data into a known format for better manipulation. In addition,
    two methods for obtaining the confidence interval are included.

Provides an interactive 'shiny' application to construct stage-structured life tables from tabular input data. The application includes input validation, demographic calculations, visualization tools, and export of tables and figures to support reproducible workflows in ecological and entomological studies. Methods for life table construction follow classical demographic approaches described in Martinez (2015) <doi:10.13140/RG.2.2.21333.65760>.

Provides a 'shiny' application to construct age-specific life tables and fertility schedules from individual female daily egg records. The application computes age-specific survival and fertility functions and estimates key demographic parameters including the net reproductive rate, mean generation time, intrinsic rate of increase, finite rate of increase and doubling time. Optional confidence intervals can be obtained using percentile bootstrap or delete-1 jackknife resampling at the female level. Methods and definitions follow Stevens (2009) <doi:10.1007/978-0-387-89882-7> and Rossini et al. (2024) <doi:10.1371/journal.pone.0299598>.