A Boolean network is a particular kind of discrete dynamical system where the variables are simple binary switches. Despite its simplicity, Boolean network modeling has been a successful method to describe the behavioral pattern of various phenomena. Applying stochastic noise to Boolean networks is a useful approach for representing the effects of various perturbing stimuli on complex systems. A number of methods have been developed to control noise effects on Boolean networks using parameters integrated into the update rules. This package provides functions to examine three such methods: Boolean network with perturbations (BNp), described by Trairatphisan et al. (2013) <doi:10.1186/1478-811X-11-46>, stochastic discrete dynamical systems (SDDS), proposed by Murrugarra et al. (2012) <doi:10.1186/1687-4153-2012-5>, and Boolean network with probabilistic edge weights (PEW), presented by Deritei et al. (2022) <doi:10.1371/journal.pcbi.1010536>. This package includes source code derived from the 'BoolNet' package, which is licensed under the Artistic License 2.0.

Methods to easily extract and manipulate climate
  reconstructions for ecological and anthropological analyses, as described
  in Leonardi et al. (2023) <doi:10.1111/ecog.06481>. The package includes datasets
  of palaeoclimate reconstructions, present observations, and future projections 
  from multiple climate models.

Provides a 'RStudio' addin allowing to paste the content of the clipboard as a comment block or as 'roxygen' lines. This is very useful to insert an example in the 'roxygen' block.

Regularisation, decomposition and analysis of space-time series.
  The pastecs R package is a PNEC-Art4 and IFREMER (Benoit Beliaeff
  <Benoit.Beliaeff@ifremer.fr>) initiative to bring PASSTEC 2000 functionalities to R.

Functions and data sets for the text Probability and Statistics
    with R.

Functions and data sets for the text Probability and Statistics
    with R, Second Edition.

Functions to patch specials in '.dvi' files,
        or entries in '.synctex' files.  Works with concordance=TRUE 
        in Sweave, knitr or R Markdown to link sources to previews.