A tool for simulating rhythmic data: transcriptome data using
  Gaussian or negative binomial distributions, and behavioral activity data
  using Bernoulli or Poisson distributions. See Singer et al. (2019)
  <doi:10.7717/peerj.6985>.

Interface to interact with the modelling framework 'SIMPLACE' and to
    parse the results of simulations.

A simple function that anonymises a list of variables
    in a consistent way: anonymised factors are not recycled and
    the same original levels receive the same anonymised factor
    even if located in different datasets.

Provides SPSS- and SAS-like output for least squares multiple regression,
    logistic regression, and count variable regressions. Detailed output is also provided for
    OLS moderated regression, interaction plots, and Johnson-Neyman
    regions of significance. The output includes standardized
    coefficients, partial and semi-partial correlations, collinearity diagnostics,
    plots of residuals, and detailed information about simple slopes for interactions. 
    The output for some functions includes Bayes Factors and, if requested,  
    regression coefficients from Bayesian Markov Chain Monte Carlo analyses.
    There are numerous options for model plots.
    The REGIONS_OF_SIGNIFICANCE function also provides
    Johnson-Neyman regions of significance and plots of interactions for both lm
    and lme models. There is also a function for partial and semipartial
    correlations and a function for conducting Cohen's
    set correlation analyses.

Provides intuitive functions for caching R objects, encouraging
    reproducible, restartable, and distributed R analysis. The user selects a
    location to store caches, and then provides  nothing more than a cache name
    and instructions (R code) for how to produce the R object. Also
    provides some advanced options like environment assignments, recreating or
    reloading caches, and cluster compute bindings (using the 'batchtools'
    package) making it flexible enough for use in large-scale data analysis
    projects.