Packaged: Thu Jun 14 21:58:16 2007; hornik

Packaged: Fri Jun  8 11:58:43 2007; paul

Packaged: Thu Jun 14 21:58:36 2007; hornik

Author: T Jake Luciani <jakeluciani@yahoo.com>

Author: T Jake Luciani <jakeluciani@yahoo.com>, Matthieu Decorde

Packaged: Thu Mar 13 10:47:52 2008; hornik

Title: Plot and Save Customised Swiss Maps
Authors@R: person("David", "Zumbach", role = c("aut", "cre"), email = "david.zumbach@gfzb.ch")
Description: 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

Packaged: 2017-10-02 12:52:14 UTC; David Zumbach

Title: RTAQ: Tools for the analysis of trades and quotes in R
Author: Kris Boudt, Jonathan Cornelissen
Description: 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
Suggests: realized, robustbase, cubature, mvtnorm, chron

Author: Jonathan Cornelissen, Kris Boudt

Title: Detecting Trait Clustering in Environmental Gradients
Author: Mateu Menendez-Serra, Vicente J. Ontiveros, Emilio O. Casamayor, David Alonso
Description: 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.
Packaged: 2020-03-30 20:04:42 UTC; macbookair