A simple, fast algorithm to find the neighbors and similarities of users in user-based filtering systems,
             to break free from the complex computation of existing similarity formulas and the ability to solve big data.

This project provides a group of new functions to calculate
    the outputs of the two main components of the Canadian Forest Fire
    Danger Rating System (CFFDRS) Van Wagner and Pickett (1985)
    <https://cfs.nrcan.gc.ca/publications?id=19973>) at various time
    scales: the Fire Weather Index (FWI) System Wan Wagner (1985)
    <https://cfs.nrcan.gc.ca/publications?id=19927> and the Fire Behaviour
    Prediction (FBP) System Forestry Canada Fire Danger Group (1992)
    <https://cfs.nrcan.gc.ca/pubwarehouse/pdfs/10068.pdf>. Some functions
    have two versions, table and raster based.

The Citation File Format version 1.2.0
    <doi:10.5281/zenodo.5171937> is a human and machine readable file
    format which provides citation metadata for software. This package
    provides core utilities to generate and validate this metadata.

Facilitates the identification of counterfactual queries in
 structural causal models via the ID* and IDC* algorithms
 by Shpitser, I. and Pearl, J. (2007, 2008) <arXiv:1206.5294>, 
 <https://jmlr.org/papers/v9/shpitser08a.html>. 
 Provides a simple interface for defining causal diagrams and counterfactual 
 conjunctions. Construction of parallel worlds graphs and counterfactual graphs 
 is carried out automatically based on the counterfactual query and the causal 
 diagram. See Tikka, S. (2023) <doi:10.32614/RJ-2023-053> for a tutorial of 
 the package.

Provides methods and functions to implement a Recommendation 
    System based on Collaborative Filtering Methodology. 
    See Aggarwal (2016) <doi:10.1007/978-3-319-29659-3> for an overview.

Performs causal functional mediation analysis (CFMA) for functional treatment, functional mediator, and functional outcome. This package includes two functional mediation model types: (1) a concurrent mediation model and (2) a historical influence mediation model. See Zhao et al. (2018), Functional Mediation Analysis with an Application to Functional Magnetic Resonance Imaging Data, <arXiv:1805.06923> for details.