Simulation-based random variable object class in R
Simulation-based random variable object class

R(>= 2.8.1), stats, utils, grDevices, graphics

R(>= 2.10.0), stats, utils, grDevices, graphics

R(>= 2.15.1), stats, utils, grDevices, graphics, parallel

Implements simulation-based random variable class and a suite of methods.

c(
person("Jouni", "Kerman", role = c("aut"), email = "jouni@kerman.com"),
person("Joseph", "Stachelek", role = c("ctb", "cre"), email = "stachel2@msu.edu")
)
Implements a simulation-based random variable class and a suite of
methods for extracting parts of random vectors, calculating extremes of random
vectors, and generating random vectors under a variety of distributions
following Kerman and Gelman (2007) <doi:10.1007/s11222-007-9020-4>.
R(>= 2.15.1), stats, utils, grDevices, graphics
Jouni Kerman [aut],
Joseph Stachelek [ctb, cre]

c(
person("Jouni", "Kerman", role = c("aut"), email = "jouni@kerman.com"),
person("Jemma", "Stachelek", role = c("ctb", "cre"), email = "stachel2@msu.edu")
)
Jouni Kerman [aut],
Jemma Stachelek [ctb, cre]

Calling haplotype-based and variant-based pedigree
disequilibrium test for rare variants in pedigrees.
To detecting rare variants for binary traits using general
pedigrees, the pedigree disequilibrium tests are proposed by
collapsing rare haplotypes/variants with/without weights. To
run the test, MERLIN is needed in linux for haplotyping.

To detecting rare variants for binary traits using general pedigrees, the pedigree disequilibrium tests are proposed by collapsing rare haplotypes/variants with/without weights. To run the test, MERLIN is needed in Linux for haplotyping.

Calling Haplotype-Based and Variant-Based Pedigree
Disequilibrium Test for Rare Variants in Pedigrees

population control weighted rare-variants TDT
Used to compute population controls weighted rare variants transmission distortion test

Computation of r-values for ranking in high-dimensional
settings.
This package provides several procedures for computing "r-values". Given a large collection of measurement units, the r-value, r, of a particular unit is a reported percentile that may be interpreted as the smallest percentile at which the unit should be placed in the top r-fraction of units.