When testing multiple hypotheses simultaneously, this
package provides functionality to calculate a lower bound for
the number of correct rejections (as a function of the number
of rejected hypotheses), which holds simultaneously -with high
probability- for all possible number of rejections.  As a
special case, a lower bound for the total number of false null
hypotheses can be inferred.  Dependent test statistics can be
handled for multiple tests of associations. For independent
test statistics, it is sufficient to provide a list of
p-values.

person("Luke", "Lockley", , "luke.lockley@btinternet.com", role = c("aut", "cre"),
comment = c(ORCID = "0000-0002-7028-1499"))
Helping to calculate cricket specific problems in a tidy & simple manner.

Multivariate conditional and marginal densities, moments, cumulative distribution functions as well as binary choice and sample selection models based on hermite polynomial approximation which was proposed and described by A. Gallant and D. W. Nychka (1987) <doi:10.2307/1913241>.

ggplot2, mvtnorm, titanic, sampleSelection, GA (>= 3.2)

Multivariate conditional and marginal densities, moments, cumulative distribution functions as well as binary choice and sample selection models based on Hermite polynomial approximation which was proposed and described by A. Gallant and D. W. Nychka (1987) <doi:10.2307/1913241>.

person(given = "Zhenxing",
family = "Cheng",
role = c("aut", "cre"),
email = "czxjnu@163.com")
By binding R functions and the 'Highcharts' <http://www.highcharts.com/> charting library, 'hpackedbubble' package provides a simple way to draw split packed bubble charts.

High Performance Cluster Models Based on Kiefer-Wolfowitz
Recursion
c(person("Alexander", "Rumyantsev", role = c("aut", "cre"),
email = "ar0@sampo.ru"))
This package contains several models describing the behavior
of workload and queue on a High Performance Cluster and computing GRID
under FIFO service discipline basing on modified Kiefer-Wolfowitz
recursion. Also sample data for inter-arrival times, service times,
number of cores per task and waiting times of HPC of Karelian
Research Centre are included, measurements took place from 06/03/2009 to 02/30/2011.