Title: Importing Data from Loligo Systems Software, Calculating
Maintainer: Tyler L. Moulton <tyler.moulton@mail.mcgill.ca>
Description: Analysis of oxygen consumption data generated by Loligo (R) Systems respirometry equipment. The package includes a function for loading data output by Loligo's 'AutoResp' software (get.witrox.data()), functions for calculating metabolic rates over user-specified time intervals, extracting critical points from data using broken stick regressions based on Yeager and Ultsch (<DOI:10.1086/physzool.62.4.30157935>), and easy functions for converting between different units of barometric pressure.
Packaged: 2017-01-05 22:15:05 UTC; Tyler Moulton

Packaged: 2017-01-20 02:00:32 UTC; Tyler Moulton

Maintainer: Tyler L. Moulton <tyler.moulton@cortland.edu>
Packaged: 2017-09-08 00:42:52 UTC; Tyler Moulton

Packaged: 2018-01-21 02:31:24 UTC; Tyler Moulton

Title: Memory-Efficient, Visualize-Enhanced, Parallel-Accelerated GWAS
Authors@R: c( person("Lilin", "Yin", role = "aut"),
person("Haohao", "Zhang", role = "aut"),
person("Zhenshuang", "Tang", role = "aut"),
person("Xiaohui", "Yuan", role = "aut"),
person("Shuhong", "Zhao", role = "aut"),
person("Hyunmin", "Kang", role = "ctb"),
person("Xiaolei", "Liu", role = c("cre", "aut", "cph"), email = "xiaoleiliu@mail.hzau.edu.cn"))
Description: A memory-efficient, visualize-enhanced, parallel-accelerated Genome-Wide Association Study (GWAS) tool. It can
(2) rapidly evaluate population structure,
(3) efficiently estimate variance components several algorithms,
(4) implement parallel-accelerated association tests of markers three methods,
(5) globally efficient design on GWAS process computing,
(6) enhance visualization of related information.
'rMVP' contains three models GLM (Alkes Price (2006) <DOI:10.1038/ng1847>), MLM (Jianming Yu (2006) <DOI:10.1038/ng1702>)
and FarmCPU (Xiaolei Liu (2016) <doi:10.1371/journal.pgen.1005767>); variance components estimation methods EMMAX
(Hyunmin Kang (2008) <DOI:10.1534/genetics.107.080101>;), FaSTLMM (method: Christoph Lippert (2011) <DOI:10.1038/nmeth.1681>,
R implementation from 'GAPIT2': You Tang and Xiaolei Liu (2016) <DOI:10.1371/journal.pone.0107684> and
'SUPER': Qishan Wang and Feng Tian (2014) <DOI:10.1371/journal.pone.0107684>), and HE regression
Imports: utils, stats, methods, graphics, grDevices, Rcpp
Depends: R (>= 3.3), MASS, parallel, bigmemory
LinkingTo: Rcpp, RcppArmadillo, RcppEigen, RcppProgress, BH, bigmemory