Provides a framework for combining self-data (exercise, sleep, etc.) from multiple sources (fitbit, Apple Health), creating visualizations, and experimenting on onself.

Allow to visualise data on the NCBI phylogenetic tree as presented in Lifemap '<http://lifemap.univ-lyon1.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.

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. This document is
    based on the article by Maia, Luiz, and Campanhola "Statistical Inference on
    Associated Fertility Life Table Parameters Using Jackknife Technique
    Computational Aspects" (April 2000, Journal of Economic Entomology, Volume
    93, Issue 2) <doi:10.1603/0022-0493-93.2.511>.

Functions supplied in this package will implement
        discriminant analysis to select an appropriate life table
        family, select an appropriate alpha level based on a desired
        life expectancy at birth, produce a model mortality pattern
        based on family and level as well as plot the results.

Implementations of Hurst exponent estimators based on the relationship between wavelet lifting scales and wavelet energy of Knight et al (2017) <doi:10.1007/s11222-016-9698-2>.

Persistent reproducible reporting by containerization of R Markdown documents.

A bootstrap proportion test for Brand Lift Testing to quantify the effectiveness of online advertising. Methods of the bootstrap proportion test are presented in
    Liu, Yu, Mao, Wu, Dyer (2023) <doi:10.1145/3583780.3615021>.