Test for effects of  both individual factors and their interaction on  replicated spatial patterns in a two factorial design, as explained in Ramon et al. (2016) <doi:10.1111/ecog.01848>.

Provides utilities for the design and analysis of replication
    studies.  Features both traditional methods based on statistical
    significance and more recent methods such as the sceptical p-value;
    Held L. (2020) <doi:10.1111/rssa.12493>, Held et al. (2022)
    <doi:10.1214/21-AOAS1502>, Micheloud et al. (2023) <doi:10.1111/stan.12312>.
    Also provides related methods including the harmonic mean chi-squared
    test; Held, L. (2020) <doi:10.1111/rssc.12410>, and intrinsic
    credibility; Held, L. (2019) <doi:10.1098/rsos.181534>. Contains
    datasets from five large-scale replication projects.

Create, Plot and Compare Replication Timing Profiles. The method is described in Muller et al., (2014) <doi: 10.1093/nar/gkt878>.

Tools to load 'R' packages
    and automatically generate BibTeX files citing them as well as load and
    cache plain-text and 'Excel' formatted data stored on 'GitHub', and
    from other sources.

Tools for generating descriptives and report tables for different models,
    data.frames and tables and exporting them to different formats.

A data manager meant to avoid manual storage/retrieval of
    data to/from the file system. It builds one (or more) centralized
    repository where R objects are stored with rich annotations,
    including corresponding code chunks, and easily searched and
    retrieved. See Napolitano (2017) <doi:10.1037/a0028240> for further
    information.

Generates a project and repo for easy initialization of a GitHub repo for R workshops. The repo includes a README with instructions to ensure that all users have the needed packages, an 'RStudio' project with the right directories and the proper data. The repo can then be used for hosting code taught during the workshop.

Fits linear models to repeated ordinal scores using GEE methodology.