Description: 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>.
Packaged: 2019-06-25 07:44:03 UTC; gianlucasottile

Packaged: 2020-02-20 11:03:48 UTC; gianlucasottile

Packaged: 2021-01-21 14:51:39 UTC; gianlucasottile

Packaged: 2021-01-21 19:56:11 UTC; gianlucasottile

Packaged: 2021-01-22 06:47:06 UTC; gianlucasottile

Packaged: 2021-05-24 12:43:02 UTC; gianlucasottile

Packaged: 2021-06-16 10:04:43 UTC; gianlucasottile

Packaged: 2021-10-15 18:08:52 UTC; gianlucasottile

Packaged: 2021-11-15 12:04:02 UTC; gianlucasottile

Packaged: 2021-12-06 10:26:35 UTC; gianlucasottile

Packaged: 2022-03-01 10:57:45 UTC; gianlucasottile

Title: An Introduction to Statistical Modeling of Extreme Values
Author: Original S functions by Stuart Coles
<Stuart.Coles@bristol.ac.uk>, R port and R documentation files
Description: 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

Author: Original S functions by Stuart Coles, R port and R
Packaged: Thu Mar  9 19:50:18 2006; stephena

Packaged: Mon Jun  2 08:54:58 2008; ericg

Packaged: Mon Dec 29 09:29:03 2008; ericg

Description: Functions to support the computations carried out in `An
Introduction to Statistical Modeling of Extreme Values' by