Utility functions, datasets and extended examples for survival analysis. This extends a range of other packages, some simple wrappers for time-to-event analyses, datasets, and extensive examples in HTML with R scripts. The package also supports the course Biostatistics III entitled "Survival analysis for epidemiologists in R".

Tutorials for statistics, aimed at biological scientists. 
    Subjects range from basic descriptive statistics 
    through to complex linear modelling. The tutorials
    include text, videos, interactive coding exercises
    and multiple choice quizzes. The package also 
    includes 19 datasets which are used in the 
    tutorials.

Datasets and functions for the book "Initiation à la Statistique avec R", F. Bertrand and M. Maumy-Bertrand (2022, ISBN:978-2100782826 Dunod, fourth edition).

A set of user-friendly functions designed to fill gaps in existing introductory biostatistics R tools, making it easier for newcomers to perform basic biostatistical analyses without needing advanced programming skills.
 The methods implemented in this package are based on the works:
 Connor (1987) <doi:10.2307/2531961>
 Fleiss, Levin, & Paik (2013, ISBN:978-1-118-62561-3)
 Levin & Chen (1999) <doi:10.1080/00031305.1999.10474431>
 McNemar (1947) <doi:10.1007/BF02295996>.

Tools and code snippets for summarizing nested data, adverse events 
  and REDCap study information.

Calculates a range of UK freshwater invertebrate biotic indices
    including BMWP, Whalley, WHPT, Habitat-specific BMWP, AWIC, LIFE and PSI.

The 'BioTIME' database was first published in 
    2018 and inspired ideas, questions, project and research
    article. To make it even more accessible, an R package 
    was created.
    The 'BioTIMEr' package provides tools designed to interact with the
    'BioTIME' database. The functions provided include the 'BioTIME' recommended
    methods for preparing (gridding and rarefaction) time series data, a
    selection of standard biodiversity metrics (including species richness,
    numerical abundance and exponential Shannon) alongside examples on how to
    display change over time. It also includes a sample subset of both the query
    and meta data, the full versions of which are freely available on the 'BioTIME'
    website <https://biotime.st-andrews.ac.uk/home.php>.