Juan Antonio Balbuena <j.a.balbuena@uv.es>, Timothee Poisot
<tim@poisotlab.io>, Matthew Hutchinson <matthewhutchinson15@gmail.com>,
Fernando Cagua <fernando@cagua.co>

The current version (0.4.1) fixes an issue in the add_pcoord
function where negative eigenvalues were left uncorrected when
the user specified that a correction be applied.

Procrustes analyses to infer co-phylogenetic
matching between pairs of phylogenetic trees.
Juan Antonio Balbuena <j.a.balbuena@uv.es>, Timothee Poisot
<tim@poisotlab.io>, Matthew Hutchinson <matthewhutchinson15@gmail.com>,
Fernando Cagua <fernando@cagua.co>; see PLoS ONE Balbuena et al 2013 <https://doi.org/10.1371/journal.pone.0061048>
The current version (0.4.2) fixes a numerical issue with
symmetric implementation of the paco_links function.

iPACOSE, PACOSE and other methods for covariance selection
ggm, igraph, ppls, MASS, gRbase, corpcor, glmnet, mvtnorm
Implementation of iPACOSE, PACOSE and of various methods
for the estimation of covariance/precision matrices under the
constraint that some partial correlation coefficients are equal
to zero.

ggm, igraph0, ppls, MASS, gRbase, corpcor, glmnet, mvtnorm

ggm, igraph, ppls, MASS, corpcor, glmnet, mvtnorm, lcd

Testing for Partial Copulas and the Simplifying Assumption in
Vine Copulas
person("Malte S.", "Kurz", email = "malte.kurz@stat.uni-muenchen.de",
role = c("aut", "cre"))
Routines for two different test types, the Equal Correlation (ECORR) test and the Vectorial Independence (VI) test are provided. The tests can be applied to check whether a conditional copula coincides with its partial copula. Functions to test whether a regular vine copula satisfies the so-called simplifying assumption or to test a single copula within a regular vine copula to be a (j-1)-th order partial copula are available. The ECORR test comes with a decision tree approach to allow testing in high-dimensional settings.
Rcpp (>= 0.11.4), VineCopula (>= 2.0.5), numDeriv, ggplot2(>=
2.0.0), gridExtra, methods

Routines for two different test types, the Constant Conditional Correlation (CCC) test and the Vectorial Independence (VI) test are provided (Kurz and Spanhel (2017) <arXiv:1706.02338>). The tests can be applied to check whether a conditional copula coincides with its partial copula. Functions to test whether a regular vine copula satisfies the so-called simplifying assumption or to test a single copula within a regular vine copula to be a (j-1)-th order partial copula are available. The CCC test comes with a decision tree approach to allow testing in high-dimensional settings.