individuals and calculating identity coefficients from a
Description: This software provides tools for quantitative trait
mapping in populations such as advanced intercross lines where
relatedness among individuals should not be ignored. It can
results. It also has functions to calculate identity
coefficients for pedigrees, especially suitable for pedigrees
that consist of a large number of generations.

estimate background genetic variance components, impute missing
coefficients from pedigrees, especially suitable for pedigrees
that consist of a large number of generations, or estimate
identity coefficients from genotypic data in certain

Description: This software provides tools for quantitative trait mapping in populations such as advanced intercross lines where relatedness among individuals should not be ignored. It can estimate background genetic variance components, impute missing genotypes, simulate genotypes, perform a genome scan for putative quantitative trait loci (QTL), and plot mapping results. It also has functions to calculate identity coefficients from pedigrees, especially suitable for pedigrees that consist of a large number of generations, or estimate identity coefficients from genotypic data in certain circumstances.

Title: Tools for Mapping of Quantitative Traits of Genetically Related
Individuals and Calculating Identity Coefficients from

Authors@R: person("Riyan", "Cheng", role = c("aut","cre"), email = "riyancheng@hotmail.com")

genetic matrices from pedigrees and from genotypic data in

Imports: gdata, graphics, grDevices, lattice, stats

Title: Quantile-Optimal Treatment Regimes with Censored Data
Authors@R: c(person("Yu", "Zhou", , "zhou0269@umn.edu", role = c("cre", "aut")),
person("Lan", "Wang", , "wangx346@umn.edu  ", role = "ctb"))
Description: Provides methods for estimation of mean- and quantile-optimal treatment regimes from censored data.
Specifically, we have developed distinct functions for three types of right censoring for static treatment using quantile criterion: (1) independent/random censoring, (2) treatment-dependent random censoring, and (3) covariates-dependent random censoring. It also includes a function to estimate quantile-optimal dynamic treatment regimes for independent censored data. Finally, this package also includes a simulation data generative model of a dynamic treatment experiment proposed in literature.
Imports: survival, rgenoud (>= 5.8), quantreg (>= 5.18), stats,
Suggests: parallel, stringr, testthat, faraway, quantoptr (>= 0.1.3),