Estimation and Inference for the Fractionally Cointegrated VAR
c(person(given = "Lealand",
family = "Morin",
role = c("aut", "cre"),
email = "lealand.morin@ucf.edu",
comment = c(ORCID = "0000-0001-8539-1386")),
person(given = "Morten",
# middle = "Orregaard",
family = "Nielsen",
role = c("aut"),
email = "mon@queensu.ca",
comment = c(ORCID = "0000-0002-1337-9844")),
person(given = "Michal",
# middle = "Ksawery",
family = "Popiel",
role = c("aut"),
email = "Michal.Popiel@analysisgroup.com"))
Estimation and inference using the Fractionally Cointegrated
Vector Autoregressive (VAR) model. It includes functions for model specification,
including lag selection and cointegration rank selection, as well as a comprehensive
set of options for hypothesis testing, including tests of hypotheses on the
cointegrating relations, the adjustment coefficients and the fractional
differencing parameters.
An article describing the FCVAR model with examples is available on the Webpage
<https://sites.google.com/view/mortennielsen/software>.
Lealand Morin [aut, cre] (<https://orcid.org/0000-0001-8539-1386>),
Morten Nielsen [aut] (<https://orcid.org/0000-0002-1337-9844>),
Michal Popiel [aut]

Measuring functional diversity (FD) from multiple traits
FD is a package to compute different multidimensional FD
indices. It implements a distance-based framework to measure FD
that allows any number and type of functional traits, and can
also consider species relative abundances.

Measuring functional diversity (FD) from multiple traits, and
other tools for functional ecology
FD is a package to compute different multidimensional FD
indices. It implements a distance-based framework to measure FD
that allows any number and type of functional traits, and can
also consider species relative abundances. It also contains
other useful tools for functional ecology.

Measuring Functional Diversity (FD) from Multiple Traits, and
Other Tools for Functional Ecology
Etienne Laliberté, Pierre Legendre, Bill Shipley
Computes different multidimensional FD indices.  Implements a distance-based framework to measure FD that allows any number and type of functional traits, and can also consider species relative abundances.  Also contains other useful tools for functional ecology.