T Jake Luciani <jakeluciani@yahoo.com>, Matthieu Decorde
<matthieu.decorde@ens-lyon.fr>

T Jake Luciani <jakeluciani@yahoo.com>, Matthieu Decorde
<matthieu.decorde@ens-lyon.fr>, Vaudor Lise
<lise.vaudor@ens-lyon.fr>

T Jake Luciani <jakeluciani@yahoo.com>, Matthieu Decorde
<matthieu.decorde@ens-lyon.fr>, Vaudor Lise <lise.vaudor@ens-lyon.fr>

person("David", "Zumbach", role = c("aut", "cre"), email = "david.zumbach@gfzb.ch")
Allows to link data to Swiss administrative divisions (municipalities,
districts, cantons) and to plot and save customised maps thereof.  Furthermore, the
package allows to generate tailored templates for data collection.  The used geodata
is publicly available on the Swiss Federal Statistical Office website
<https://www.bfs.admin.ch/bfs/de/home/dienstleistungen/geostat/geodaten-bundesstatistik.html>.

RTAQ: Tools for the analysis of trades and quotes in R
The Trades and Quotes data of the New York Stock Exchange
is a popular input for the implementation of intraday trading
strategies, the measurement of liquidity and volatility and
investigation of the market microstructure, among others. This
package contains a collection of R functions to carefully clean
and match the trades and quotes data, calculate ex post
liquidity and volatility measures and detect price jumps in the
data.
realized, robustbase, cubature, mvtnorm, chron

Detecting Trait Clustering in Environmental Gradients
Mateu Menendez-Serra, Vicente J. Ontiveros, Emilio O. Casamayor, David Alonso
The Randomized Trait Community Clustering method (Triado-Margarit et al., 2019,
<doi:10.1038/s41396-019-0454-4>) is a statistical approach which allows to determine whether
if an observed trait clustering pattern is related to an increasing environmental constrain.
The method 1) determines whether exists or not a trait clustering on the sampled communities
and 2) assess if the observed clustering signal is related or not to an increasing environmental
constrain along an environmental gradient. Also, when the effect of the environmental gradient
is not linear, allows to determine consistent thresholds on the community assembly based on trait-values.