R (>= 2.10), nlme, sandwich, geoR, betareg, Formula

nlme, sandwich, geoR, betareg, Formula, car, sp
Likelihood inference in Gaussian copula marginal
regression models.

betareg, car, Formula, geoR, lmtest, nlme, sandwich, sp

graphics, grDevices, methods, stats, utils, betareg, car,
Formula, geoR, lmtest, nlme, sandwich, sp

graphics, grDevices, stats, utils, betareg, car, Formula,
geoR, lmtest, nlme, sandwich, sp

graphics, grDevices, stats, utils, betareg, car, Formula,
lmtest, nlme, sandwich, sp

General class of models for recurrent event data
Juan R. Gonzalez <jrgonzalez@ico.scs.es> Elizabeth H. Slate <SlateEH@musc.edu>
Edsel A Peña <pena@stat.sc.edu>
Parameters estimation of the general semiparametric model for recurrent event
data proposed by Peña and Hollander.

Juan R. González, Elizabeth H. Slate <SlateEH@musc.edu>, and Edsel A Peña <pena@stat.sc.edu>

Parameters estimation of the general semiparametric model for recurrent event data proposed by Peña and Hollander.

Juan R. González <jrgonzalez@creal.cat>, Elizabeth H. Slate
<SlateEH@musc.edu>, and Edsel A Peña <pena@stat.sc.edu>
Parameters estimation of the general semiparametric model
for recurrent event data proposed by Peña and Hollander.

Provides an Inequation Algorithm Function and a solution to
import DIMACS files.
Jeffrey L. Duffany, Ph.D. and Euripides Rivera Negron
Jeffrey L. Duffany, Ph.D. <jduffany@gmail.com>
Generates a valid colouring of a graph by solving the
system of inequations representing the graph.

Concord method for Graphical Model Selection
Sang-Yun Oh <sang.oh@stanford.edu>
Kshitij Khare <kdkhare@stat.ufl.edu>
Bala Rajaratnam <brajarat@stanford.edu>
Estimates a sparse inverse covariance matrix from a convex
pseudo-likelihood function with L1 penalty

An implementation of the International Bureau of Weights and Measures (BIPM) generalized consensus estimators used to assign the reference value in a key comparison exercise. This can also be applied to any interlaboratory study. Given a set of different sources, primary laboratories or measurement methods this package provides an evaluation of the variance components according to the selected statistical method for consensus building. It also implements the comparison among different consensus builders and evaluates the participating method or sources against the consensus reference value. Based on a diverse set of references, Graybill-Deal (1959) <doi:10.2307/2527652>, DerSimonian-Laird (1986) <doi:10.1016/0197-2456(86)90046-2>, Vangel-Ruhkin (1999) <doi:10.1111/j.0006-341X.1999.00129.x>, for a complete list of references look at the reference section in the package documentation.