Adaptation of the 'Matlab' 'tsEVA' toolbox developed by Lorenzo Mentaschi
    available here:
    <https://github.com/menta78/tsEva>. It contains an implementation of the
    Transformed-Stationary (TS) methodology for non-stationary extreme 
    value Analysis (EVA) as described in Mentaschi et al. (2016) <doi:10.5194/hess-20-3527-2016>.  
    In synthesis this approach consists in:
    (i) transforming a non-stationary time series into a
    stationary one to which the stationary extreme value theory can be applied; and
    (ii) reverse-transforming the result into a non-stationary extreme
    value distribution.
    'RtsEva' offers several options for trend estimation (mean, extremes, seasonal)
    and contains multiple plotting functions displaying different aspects
    of the non-stationarity of extremes.

An R wrapper around the fast T-distributed Stochastic
    Neighbor Embedding implementation by Van der Maaten  (see <https://github.com/lvdmaaten/bhtsne/> for more information on the original implementation).

TSON, short for Typed JSON, is a binary-encoded serialization of
    JSON like document that support JavaScript typed data (https://github.com/tercen/TSON).

Contains the program 'ttf2pt1', for use with the
    'extrafont' package. This product includes software developed by the 'TTF2PT1'
    Project and its contributors.

An implementation of calls designed to collect 'Tumblr' data via its Application Program Interfaces (API), which can be found at the following URL: <https://www.tumblr.com/docs/en/api/v2>.

Implements the t-walk algorithm, a general-purpose, self-adjusting
    Markov Chain Monte Carlo (MCMC) sampler for continuous distributions as
    described by Christen & Fox (2010) <doi:10.1214/10-BA603>. The t-walk requires
    no tuning and is robust for a wide range of target distributions, including
    high-dimensional and multimodal problems. This implementation includes an
    option for running multiple chains in parallel to accelerate sampling and
    facilitate convergence diagnostics.