Package: kerdiest
Type: Package
Title: Nonparametric kernel estimation of the distribution function.
Bandwidth selection and estimation of related functions.
Version: 1.2
Date: 2012-08-11
Author: Alejandro Quintela del Rio and Graciela Estevez Perez
Maintainer: Alejandro Quintela del Rio <aquintela@udc.es>
Description: Nonparametric kernel distribution function estimation is
performed. Three automatic bandwidth selection methods for
nonparametric kernel distribution function estimation are
implemented: the plug-in of Altman and Leger, the plug-in of
Polansky and Baker, and the modified cross-validation of
Bowman, Hall and Prvan. The exceedance function, the mean
return period and the return level are also computed.
License: GPL (>= 2)
LazyLoad: yes
Depends: date, chron, evir
Repository: CRAN
Date/Publication: 2012-08-13 07:57:06
Package: MCMC4Extremes
Type: Package
Title: Posterior Distribution of Extreme Value Models in R
Version: 1.0
Date: 2015-03-14
Authors@R: c(person("Fernando Ferraz", "do Nascimento", email =
"fernandofn@ufpi.edu.br", role = c("aut", "cre")),
person("Wyara Vanesa", "Moura e Silva", email = "wyaravms@hotmail.com",
role = c("aut", "ctb")))
Author: Fernando Ferraz do Nascimento [aut, cre], Wyara Vanesa Moura e Silva [aut, ctb]
Maintainer: Fernando Ferraz do Nascimento <fernandofn@ufpi.edu.br>
Depends: R (>= 3.0), evir
Description: Provides some function to perform posterior estimation for some distribution, with emphasis to extreme value distributions.It contains some extreme datasets, and functions that perform the runs of posterior points of the GPD and GEV distribution. The package calculate some important extreme measures like return level for each t periods of time, and some plots as the predictive distribution, and return level plots.
License: GPL-2
Packaged: 2015-04-01 11:21:29 UTC; WYARAVMS
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-04-02 00:04:49
providing 
.