Package: gPdtest
Type: Package
Title: Bootstrap goodness-of-fit test for the generalized Pareto
distribution
Version: 0.0.1
Date: 2009-06-16
Author: Elizabeth Gonzalez Estrada, Jose A. Villasenor Alva
Maintainer: Elizabeth Gonzalez Estrada <egonzalez@colpos.mx>
Description: This package computes the bootstrap goodness-of-fit test
for the generalized Pareto distribution proposed by
Villasenor-Alva and Gonzalez-Estrada (2009). The null
hypothesis includes heavy and non-heavy tailded gPd's. A
function for fitting the gPd to data using the parameter
estimation methods proposed in the same article is also
provided.
License: GPL (>= 2)
LazyLoad: yes
Packaged: Wed Jun 17 00:01:13 2009; Dra. Eli
Repository: CRAN
Date/Publication: 2009-06-17 08:00:57

for the generalized Pareto distribution by Villasenor-Alva and
Gonzalez-Estrada (2009). The null hypothesis includes heavy and
non-heavy tailed gPd's. A function for fitting the gPd to data
using the parameter estimation methods proposed in the same

Description: A package for functional enrichment analysis via the
Author: Juri Reimand <juri.reimand@ut.ee>, Raivo Kolde

Description: Functional enrichment analysis, gene identifier conversion
and mapping homologous genes across related organisms via the
Title: Interface to the 'g:Profiler' Toolkit

Title: R interface to the g:Profiler toolkit

Description: Functional enrichment analysis, gene identifier conversion and
mapping homologous genes across related organisms via the 'g:Profiler' toolkit

Description: This package has been deprecated and will not be updated.
New users should use the package 'gprofiler2' (<https://CRAN.R-project.org/package=gprofiler2>)
for up-to-date data and improved functionality.
Functional enrichment analysis, gene identifier conversion and

Description: A package for probability propagation in graphical independence networks.

Description: A package for probability propagation in graphical independence networks, also known as probabilistic expert systems (which includes Bayesian networks as a special case).