A tool that allows to download and save historical time series data 
	for future use offline. The intelligent updating functionality will only download 
	the new available information; thus, saving you time and Internet bandwidth. 
	It will only re-download the full data-set if any inconsistencies are detected. 
	This package supports following data provides: 'Yahoo' (finance.yahoo.com), 
	'FRED' (fred.stlouisfed.org), 'Quandl' (data.nasdaq.com), 
	'AlphaVantage' (www.alphavantage.co), 'Tiingo' (www.tiingo.com).

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).

A fast and elegant time series visualization package. In addition to the 
	standard R plot types, this package supports candle sticks, open-high-low-close, and
	volume plots. Useful for visualizing any time series data, e.g., stock prices and 
	technical indicators.

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