Rserve is a versatile, scalable server enabling the
	     efficient use of R from other applications through
	     variety of protocols including QAP, WebSockets, HTTP
	     and HTTPS. It acts as a server (TCP/IP or local sockets) 
	     which allows binary requests to be sent to R. Every
	     connection has a separate workspace and working
	     directory. Client-side implementations are available
	     for many popular languages allowing applications
	     to use facilities of R without the need of linking to
	     the R binary. Rserve supports remote connections,
	     user authentication and file transfer. A simple R client
	     is included in this package as well. It also supports
	     OCAP mode for secure remote procedure calls,
	     including support for full event loop, asynchronous
	     results/graphics and console I/O.

A report of statistical findings (RSF) project template is
    generated using a 'bookdown' format. 'YAML' fields can be further
    customized. Additional helper functions provide extra features to the
    RSF.

Slow Feature Analysis (SFA), ported to R based on
    'matlab' implementations of SFA: 'SFA toolkit' 1.0 by Pietro Berkes and 'SFA toolkit'
    2.8 by Wolfgang Konen.

This is a collection of functions designed for simulating, estimating and forecasting seasonal functional autoregressive time series of order one. These methods are addressed in the manuscript: <https://www.monash.edu/business/ebs/research/publications/ebs/wp16-2019.pdf>.

Generates plots from a database connection
    and a 'SGL' statement. 'SGL' is a graphics language designed
    to look and feel like 'SQL'. It is especially useful for
    those familiar with 'SQL' who want to specify plots in a
    similar manner. The 'SGL' language is described in
    Chapman (2025) <doi:10.48550/arXiv.2505.14690>.

Contains a variety of functions, based around
    regime shift analysis of paleoecological data.
    Citations:
    Rodionov() from Rodionov (2004) <doi:10.1029/2004GL019448>
    Lanzante() from Lanzante (1996) <doi:10.1002/(SICI)1097-0088(199611)16:11%3C1197::AID-JOC89%3E3.0.CO;2-L>
    Hellinger_trans from Numerical Ecology, Legendre & Legendre (ISBN 9780444538680)
    rolling_autoc from Liu, Gao & Wang (2018) <doi:10.1016/j.scitotenv.2018.06.276>
    Sample data sets lake_data & lake_RSI processed from Bush, Silman & Urrego (2004) <doi:10.1126/science.1090795>
    Sample data set January_PDO from NOAA: <https://www.ncei.noaa.gov/access/monitoring/pdo/>.