Develops stochastic models based on the Theory of Island
Biogeography (TIB) of MacArthur and Wilson (1967) <doi:10.1023/A:1016393430551>
and extensions. It implements methods to estimate colonization and
extinction rates (including environmental variables) given presence-absence
data, simulates community assembly, and performs model selection.

Gianluca Sottile [aut, cre],
Giovanna Cilluffo [aut, ctb],
Vito MR Muggeo [aut, ctb]
An implementation of the induced smoothing idea that focuses on hypothesis testing in lasso regularization models (IS-lasso). Linear, logistic, Poisson and gamma regressions with several link functions are already implemented. The algorithm uses the steps as described in the original paper. See: The Induced Smoothed lasso: A practical framework for hypothesis testing in high dimensional regression. Cilluffo, G., Sottile, G., La Grutta, S. and Muggeo, V. (2019) <doi:10.1177/0962280219842890>.

Gianluca Sottile [aut, cre],
Giovanna Cilluffo [aut, ctb],
Vito MR Muggeo [aut, cre]
An implementation of the induced smoothing (IS) idea to lasso regularization models to allow estimation and inference on the model coefficients (currently hypothesis testing only). Linear, logistic, Poisson and gamma regressions with several link functions are implemented. The algorithm is described in the original paper: Cilluffo, G., Sottile, G., La Grutta, S. and Muggeo, V. (2019) The Induced Smoothed lasso: A practical framework for hypothesis testing in high dimensional regression. <doi:10.1177/0962280219842890>, and discussed in a tutorial: Sottile, G., Cilluffo, G., and Muggeo, V. (2019) The R package islasso: estimation and hypothesis testing in lasso regression. <doi:10.13140/RG.2.2.16360.11521>.

An Introduction to Statistical Modeling of Extreme Values
Original S functions by Stuart Coles
<Stuart.Coles@bristol.ac.uk>, R port and R documentation files
by Alec Stephenson <a.stephenson@lancaster.ac.uk>.
Functions to support the computations carried out in
`An Introduction to Statistical Modeling of Extreme Values' by
Stuart Coles. The functions may be divided into the following
groups; maxima/minima, order statistics, peaks over thresholds
and point processes.