Author: Catherine B. Hurley and Denise Earle
Title: Dendrogram seriation: ordering for visualisation
Description: Re-arranges a dendrogram to optimize visualisation-based

Description: Re-arranges a dendrogram to optimize visualisation-based cost functions

Title: Dendrogram Seriation: Ordering for Visualisation
Description: Re-arranges a dendrogram to optimize visualisation-based cost functions.
Packaged: 2022-04-27 13:23:17 UTC; catherine

Title: A Set of Tools for Calculating Spatial Synchrony Between
Author: Josu G. Alday, Tatiana A. Shestakova, Victor Resco de Dios, Jordi Voltas
Maintainer: Josu G. Alday <josucham@gmail.com>
Description: Provides functions for the calculation and plotting of synchrony in
tree growth from tree-ring width chronologies (TRW index). It combines
variance-covariance (VCOV) mixed modelling with functions that quantify
the degree to which the TRW chronologies contain a common temporal
signal. It also implements temporal trends in spatial synchrony using a
moving window. These methods can also be used with other kind of ecological
variables that have temporal autocorrelation corrected.

Author: Josu G. Alday (https://orcid.org/0000-0001-7510-8655),
Victor Resco de Dios (https://orcid.org/0000-0002-5721-1656),

Imports: stats, utils, gridExtra, methods

Title: Parameter Estimates and Real-Time Prediction of a Single Dengue
Author: Carlos Sebrango, Lizet Sanchez, Ziv Shkedy, Ewoud De Troyer
Description: Provides functions for parameter estimation and real-time predictions  of a single dengue
outbreak taking into account model uncertainty using  model averaging.
Depends: R (>= 2.10), ggplot2, nlme, drc

Title: Dens-Based Method for Partial Correlation Estimation in Large
Author: Yikai Wang, Jian Kang, Phebe Brenne Kemmer and Ying Guo
Description: Provide a Dens-based method for estimating functional connection in large scale brain networks using partial correlation.

Title: Density.T.HoldOut: Non-combinatorial T-estimation Hold-Out for
Author: Nelo Magalhães (Univ. Paris Sud 11 - INRIA team Select) and Yves Rozenholc (Univ. Paris Descartes - INRIA team Select)
Description: Implementation in the density framework of the non-combinatorial algorithm and its greedy version, introduced by Magalhães and Rozenholc (2014), for T-estimation Hold-Out proposed in Birgé (2006, Section 9). The package provide an implementation which uses several families of estimators (regular and irregular histograms, kernel estimators) which may be used alone or combined. As a complement, provides also a comparison with other Held-Out derived from least-squares and maximum-likelihood.