Author: Xiangyu Zhang <zhan6004@umn.edu>, Sara Algeri <salgeri@umn.edu>
Packaged: 2020-08-03 18:41:03 UTC; ZHANGXIANGYU

Packaged: 2020-11-23 16:14:06 UTC; zxysmacbook

Title: Estimate and Test Exponential vs. Pareto Distributions
person("Fares", "Qeadan", email = "fares.qeadan@utah.edu",
person("Jiqiang", "Wu", email = "charles.wu@utah.edu",
person("Tomasz", "Kozubowski", email = "tkozubow@unr.edu",
person("Anna", "Panorska", email = "ania@unr.edu",
Description: The programs were developed for estimation of parameters and testing exponential versus Pareto distribution during our work on hydrologic extremes. See Kozubowski, T.J., A.K. Panorska, F. Qeadan, and A. Gershunov (2007) <doi:10.1080/03610910802439121>, and Panorska, A.K., A. Gershunov, and T.J. Kozubowski (2007) <doi:10.1007/978-0-387-34918-3_26>.

Title: Low Rank Matrix Factorization S3 Objects
Description: Provides S3 classes to represent low rank matrix
Author: Alex Hayes [aut, cre] (<https://orcid.org/0000-0002-4985-5160>)

Title: Fitting Linear Quantile Regression Mixed Models
Maintainer: Sayyed Reza Alavian <s.rezaalavian@mail.um.ac.ir>
Description: Fit a quantile regression mixed model using a sparse implementation of the
Frisch-Newton interior-point algorithm as described in
Portnoy and Koenker (1977, Statistical Science)  <https://www.jstor.org/stable/2246217>.
Imports: GeneticsPed, SparseM, MASS, quantreg, Matrix, MasterBayes,

Author: Sayyed Reza Alavian, Majid Sarmad, Mehdi Jabbari Nooghabi.(Ferdowsi University Of Mashhad)

Imports: GeneticsPed, SparseM, quantreg, Matrix, kinship2, MCMCglmm,

Title: Fitting Linear Quantile Regression Mixed Models with
Description: Fit a quantile regression mixed model involved Relationship Matrix using a sparse implementation of the
Portnoy and Koenker (1977, Statistical Science)  <https://www.jstor.org/stable/2246216>.

Title: A Likelihood Ratio Test Accounting for Genetic Heterogeneity
Maintainer: Zhiyuan (Jason) Xu <xuxx0284@umn.edu>
Description: R code of a likelihood ratio test for genome-wide association under genetic