reshape, RWeka, scales, stats, stringr, survminer, survival

person("Lana", "Garmire", email = "lana.garmire.group@gmail.com", role = c("aut","cre")))

Description: A comprehensive analysis tool for metabolomics data.  It consists a variety of functional modules, including several new modules: a pre-processing module for normalization and imputation, an exploratory data analysis module for dimension reduction and source of variation analysis, a classification module with the new deep-learning method and other machine-learning methods, a prognosis module with cox-PH and neural-network based Cox-nnet methods, and pathway analysis module to visualize the pathway and interpret metabolite-pathway relationships. References: H. Paul Benton <http://www.metabolomics-forum.com/index.php?topic=281.0> Jeff Xia <https://github.com/cangfengzhe/Metabo/blob/master/MetaboAnalyst/website/name_match.R> Travers Ching, Xun Zhu, Lana X. Garmire (2018) <doi:10.1371/journal.pcbi.1006076>.

infotheo, limma, M3C, Metrics, MLmetrics, parallel, princurve,

Description: Estimation of life expectancy and
Life Years Lost (LYL, or lillies for short) for a given population, for
example those with a given disease or condition. In addition, the package
can be used to compare estimates from different populations, or to estimate
confidence intervals. Technical details of the method are available in
Imports: ddpcr, dplyr, knitr, pracma, progress, rlang, survival, tidyr,

Plana-Ripoll et al. (2020) <doi:10.1371/journal.pone.0228073> and Andersen

Package: limSolve
Version: 1.1
Title: Solving linear inverse models
Author: Karline Soetaert <k.soetaert@nioo.knaw.nl>,
Karel Van den Meersche <k.vdMeersche@nioo.knaw.nl>,
Dick van Oevelen <d.vanoevelen@nioo.knaw.nl>
Maintainer: Karline Soetaert <k.soetaert@nioo.knaw.nl>
Depends: R (>= 2.01), quadprog, lpSolve, MASS
Description: Functions that (1.) Find the minimum/maximum of a linear or quadratic function:
min or max (f(x)), where f(x) = ||Ax-b||^2 or f(x) = sum(ai*xi)
subject to equality constraints Ex=f and/or inequality constraints Gx>=h.
(2.) Sample an underdetermined- or overdetermined system Ex=f subject to Gx>=h, and if applicable Ax~=b.
(3.) Solve a linear system Ax=B for the unknown x. Includes banded and tridiagonal linear systems.
The package calls Fortran functions from LINPACK
License: GPL
LazyData: yes
Packaged: Thu Apr 24 04:49:37 2008; theussl