Five omnibus tests for the composite hypothesis of
normality

Juergen Gross <gross@statistik.uni-dortmund.de>, bug fixes by
Uwe Ligges

Five omnibus tests for testing the composite hypothesis of
normality.
c(person("Juergen", "Gross", role = "aut", email = "gross@statistik.tu-dortmund.de"),
person("Uwe", "Ligges", role = c("aut", "cre"), email = "ligges@statistik.tu-dortmund.de"))
Juergen Gross [aut],
Uwe Ligges [aut, cre]

Neyman Smooth Tests of Normality for the Errors of ARMA Models
Pierre Duchesne and Pierre Lafaye de Micheaux
Tests the goodness-of-fit to the Normal distribution for the errors of an ARMA model.

Pierre Lafaye de Micheaux <lafaye@dms.umontreal.ca>

Assessing Normality of Stationary Process
c(
person("Asael","Alonzo Matamoros", role = c("aut", "cre"),email = "asael.alonzo@gmail.com"),
person("Alicia","Nieto-Reyes", role = 'aut', email = "alicia.nieto@unican.es"),
person("Rob", "Hyndman", email="Rob.Hyndman@monash.edu", role = "ctb"),
person("Mitchell", "O'Hara-Wild", role = "ctb"),
person("Trapletti", "A.", role = "ctb")
)
Despite that several tests for normality in stationary processes have been proposed
in the literature, consistent implementations of these tests in programming languages are limited.
Four normality test are implemented. The Lobato and Velasco's, Epps, Psaradakis and  Vavra, and the
random projections tests for stationary process. Some other diagnostics such as, unit root test for
stationarity, seasonal tests for seasonality, and arch effect test for volatility; are also performed.
The package also offers residual diagnostic for linear time series models developed in several packages.
forecast, nortest, ggplot2, gridExtra, tseries, uroot, MASS,
zoo
Asael Alonzo Matamoros [aut, cre],
Alicia Nieto-Reyes [aut],
Rob Hyndman [ctb],
Mitchell O'Hara-Wild [ctb],
Trapletti A. [ctb]

Compute Node Overlap and Segregation in Ecological Networks
Calculate NOS (node overlap and segregation) and
the associated metrics described in Strona and
Veech (2015) <DOI:10.1111/2041-210X.12395> and Strona et al.
(2017; In Press, DOI to be provided in subsequent package version).
The functions provided in the package enable assessment of
structural patterns ranging from complete node segregation to perfect
nestedness in a variety of network types. In addition, they provide a
measure of network modularity.