index scores from a subject's dimension scores. 28 TTO and 11 VAS EQ-5D-3L
crosswalk value set for Russia. Two EQ-5D-Y value sets are also included.

Title: Create an SVG-Based Mathematical Formula
Description: If you have a mathematical formula and the need to have that
formula in the form of scalable vector graphics (SVG), you'll be
delighted by what 'eqn2svg' will let you do. The incoming LaTeX math formula
will be nicely converted to SVG tags. And you can use that code wherever

Title: EQS Output Conversion to lavaan Functions
Maintainer: Craig M. Krebsbach <craigmk@my.uri.edu>
Description: Transitioning from EQS to R for structural equation modeling (SEM)
is made easier with a set of functions to convert .out files into R code.
The EQS output can be converted into lavaan syntax and run in the R
environment.  Other functions parse descriptive statistics and the covariance matrix
from an EQS .out file.  A heat map plot of a covariance matrix is also
Collate: 'eqs2lavaan.R' 'eqsCorr.R' 'eqsCov.R' 'eqsDesc.R'

Title: Tools for analyzing eQTL experiments: A complementary to Karl Broman's 'qtl' package for genome-wide analysis
Author: Ahmid A. Khalili and Olivier Loudet
Maintainer: Ahmid A. Khalili <hamid.khalili@gmail.com>
Description:  Analysis of experimental crosses to identify genes (called quantitative trait loci, QTLs) contributing to variation in quantitative traits.
Packaged: Mon Sep  1 17:11:25 2008; hkhalili

Title: Tools for analyzing eQTL experiments: A complementary to Karl
Broman's 'qtl' package for genome-wide analysis
Description: Analysis of experimental crosses to identify genes (called
quantitative trait loci, QTLs) contributing to variation in

Contributors: Jennifer Yansouni, Karl Broman

Title: Estimate a Single or Multiple Graphical Models and Construct
Author: Bochao Jia, Faming Liang, Runmin Shi, Suwa Xu
Imports: igraph, huge, XMRF, ZIM, mvtnorm
Description: Provides an equivalent measure of partial correlation coefficients for high-dimensional Gaussian Graphical Models to learn and visualize the underlying relationships between variables from single or multiple datasets. You can refer to Liang, F., Song, Q. and Qiu, P. (2015) <doi:10.1080/01621459.2015.1012391> for more detail. Based on this method, the package also provides the method for constructing networks for Next Generation Sequencing Data. Besides, it includes the method for jointly estimating Gaussian Graphical Models of multiple datasets.
Packaged: 2017-02-22 14:09:22 UTC; jiabochao