Methods for comparing different regression algorithms for 
    describing the temporal dynamics of secondary tree growth (xylem and 
    phloem). Users can compare the accuracy of the most common fitting methods 
    usually used to analyse xylem and phloem data, i.e., Gompertz function, 
    Double Gompertz function, General Additive Models (GAMs); and an algorithm 
    newly introduced to the field, i.e., Bayesian Regularised Neural Networks 
    (brnn). The core function of the package is XPSgrowth(), while the results 
    can be interpreted using implemented generic S3 methods, such as plot() and 
    summary().

Allow function for using 'TGStat Stat API' and
    'TGStat Search API', for more details see <https://api.tgstat.ru/docs/ru/start/intro.html>.
    'TGStat' provide telegram channel analytics data.

The goal of 'Rthingsboard' is to provide interaction with the API of 'ThingsBoard' (<https://thingsboard.io/>), an open-source IoT platform for device management, data collection, processing and visualization.

A suite of custom R Markdown formats and templates for
    authoring journal articles and conference submissions.

A tool for processing Articulate
    Assistant Advanced™ (AAA) export files and plot tongue contour data from any
    system.

'TiddlyWiki' is a unique non-linear notebook for capturing, organising and sharing complex information. 'rtiddlywiki' is a R interface of 'TiddlyWiki' <https://tiddlywiki.com> to create new tiddler from Rmarkdown file, and then put into a local 'TiddlyWiki' node.js server if it is available.

Calculates tide heights based on tide station harmonics.  It
    includes the harmonics data for 637 US stations.  The harmonics data
    was converted from
    <https://github.com/poissonconsulting/rtide/blob/main/data-raw/harmonics-dwf-20151227-free.tar.bz2>,
    NOAA web site data processed by David Flater for 'XTide'.  The code to
    calculate tide heights from the harmonics is based on 'XTide'.

The name of this package grew out of our research on temporal interpersonal 
    emotion systems (TIES), hence 'rties'. It provides tools for using a set of models to 
    investigate temporal processes in bivariate (e.g., dyadic) systems. The general approach
    is to model, one dyad at a time, the dynamics of a variable that is assessed repeatedly 
    from both partners, extract the parameter estimates for each dyad, and then use those 
    parameter estimates as input to a latent profile analysis to extract groups of dyads with
    qualitatively distinct dynamics. Finally, the profile memberships can be used to either 
    predict, or be predicted by, another variable of interest. Currently, 2 models are supported:
    1) inertia-coordination, and 2) a coupled-oscillator. Extended documentation is provided 
    in vignettes. Theoretical background can be found in Butler (2011) <doi:10.1177/1088868311411164> 
    and Butler & Barnard (2019) <doi:10.1097/PSY.0000000000000703>.