Imports: stats, liqueueR, plyr, mvnfast, methods

solution is produced. The optmatch package, which is useful for
running many of the provided functions, may be downloaded from
Github at <https://github.com/markmfredrickson/optmatch> if not

Imports: stats, plyr, mvnfast, methods, rlemon
available on CRAN. The rrelaxiv package, which provides an
alternative solver for the underlying network flow problems,
carries an academic license and is not available on CRAN, but

Title: Fitting Sample Selection Models for Discrete Response Variables
Author: Sang Kyu Lee <lsk0816@gmail.com>, Adelchi Azzalini <adelchi.azzalini@unipd.it>, Hyoung-Moon Kim <hmk966a@gmail.com>
Maintainer: Sang Kyu Lee <lsk0816@gmail.com>
Description: Tools to fit sample selection models in case of discrete response
variables, through a parametric formulation which represents a natural
extension of the well-known Heckman selection model are provided in the
package. The response variable can be of Bernoulli, Poisson or Negative
Binomial type. The sample selection mechanism allows to choose among a
Normal, Logistic or Gumbel distribution.
Imports: sfsmisc, matrixcalc, psych, MASS

Title: Diagnostic test summary measures for three ordinal groups
Description: Assuming diagnostic marker increase monotonically and
stochatically with disease severity, the R package provides
utilities to estimate two diagnostic test summary measures for
three ordinal groups ----volume under ROC surface (VUS) and the
extended Youden index. Variance, confidence interval and
optimal cut-points both under the normal assumption and also
the non-parametric method(s) will be provided for the summary
measures. Statistical tests are implemented to compare multiple
diagnostic tests and two diagnostic test. Sample size is
calculated to estimate the summary measures within
user-specified margin of error for future study planning.

Package: DiagTest3Grp
Type: Package
Title: Diagnostic test summary measures for three ordinal groups
Version: 1.4
Date: 2012-03-30
Author: Jingqin Luo, Chengjie Xiong
Maintainer: Jingqin Luo<rosy@wubios.wustl.edu>
Description: The R package provides utilities to estimate and make
inference on two summary measures for diagnostic tests when
there are three ordinal groups ----volume under ROC surface
(VUS) and the extended Youden index, assuming that diagnostic
markers increase monotonically and stochastically with disease
severity. Point estimates, variance, confidence interval and
optimal cut-points both under the normal assumption and also
the non-parametric method(s) will be provided for the summary
measures. Statistical tests are implemented to compare multiple
diagnostic tests and two diagnostic test.  Sample size is
calculated to estimate the summary measures within a
user-specified margin of error for future study planning.
License: GPL (>= 3.0)
Depends: car,KernSmooth,stats, gplots
LazyLoad: yes
Packaged: 2012-03-30 18:00:38 UTC; rosy
Repository: CRAN
Date/Publication: 2012-03-31 05:19:41