Package: lawstat
Type: Package
Title: Tools for Biostatistics, Public Policy, and Law
Version: 3.0
Date: 2015-07-07
Author: (in alphabetical order)
Joseph L. Gastwirth <jlgast@gwu.edu>;
Yulia R. Gel <ygl@utdallas.edu>;
W. L. Wallace Hui <wlwhui@uwaterloo.ca>;
Vyacheslav Lyubchich <lyubchic@cbl.umces.edu>;
Weiwen Miao <miao@macalester.edu>;
Kimihiro Noguchi <kinoguchi@ucdavis.edu>
Maintainer: Vyacheslav Lyubchich <lyubchic@cbl.umces.edu>
Depends: R (>= 2.6.0), Hmisc, Kendall, mvtnorm, VGAM
Suggests: fBasics
License: GPL (>= 2)
Description: Statistical tests widely utilized in biostatistics, public policy, and law. Along with the well-known tests for equality of means and variances, randomness,
measures of relative variability etc, the package contains new robust tests of symmetry,
omnibus and directional tests of normality, and their graphical counterparts such as
Robust QQ plot; a robust trend tests for variances etc. All implemented tests and methods
are illustrated by simulations and real-life examples from legal statistics, economics,
and biostatistics.
NeedsCompilation: no
Packaged: 2015-07-07 14:20:21 UTC; Slava
Repository: CRAN
Date/Publication: 2015-07-07 18:10:55
Package: nonparaeff
Version: 0.5-8
Date: 2013-02-22
Title: Nonparametric Methods for Measuring Efficiency and Productivity
Author: Dong-hyun Oh <oh.donghyun77@gmail.com>, with Dukrok Suh
Maintainer: Dong-hyun Oh <oh.donghyun77@gmail.com>
Depends: R (>= 1.8.0), lpSolve, gdata, Hmisc, rms, geometry, psych, pwt
Suggests: gtools
Description: This package contains functions for measuring efficiency
and productivity of decision making units (DMUs) under the
framework of Data Envelopment Analysis (DEA) and its
variations.
License: GPL (>= 2)
URL: http://www.r-project.org
Repository: CRAN
Packaged: 2013-02-22 07:52:17 UTC; arecibo
NeedsCompilation: no
Date/Publication: 2013-02-22 09:38:43
Package: PRIMsrc
Type: Package
Title: PRIM Survival Regression Classification
Version: 0.6.3
Date: 2015-11-16
Authors@R: c(person("Jean-Eudes", "Dazard",
role = c("aut", "cre"),
email = "jxd101@case.edu"),
person("Michael", "Choe",
role = "ctb",
email = "mjc206@case.edu"),
person("Michael", "LeBlanc",
role = "ctb",
email = "mleblanc@fhcrc.org"),
person("Alberto", "Santana",
role = "ctb",
email = "ahs4@case.edu"))
Author: Jean-Eudes Dazard [aut, cre], Michael Choe [ctb], Michael LeBlanc [ctb], Alberto Santana [ctb]
Maintainer: Jean-Eudes Dazard <jxd101@case.edu>
Description: Performs a unified treatment of Bump Hunting by Patient Rule Induction Method (PRIM) in Survival, Regression and Classification settings (SRC). The current version is a development release that only implements the case of a survival response. New features will be added soon as they are available.
Depends: R (>= 3.0.2), parallel, survival, Hmisc, glmnet, MASS
Imports: graphics, grDevices, stats
URL: https://github.com/jedazard/PRIMsrc
Repository: CRAN
License: GPL (>= 3) | file LICENSE
LazyLoad: yes
LazyData: yes
Archs: i386, x64
Packaged: 2015-11-17 01:07:03 UTC; jxd101
NeedsCompilation: no
Date/Publication: 2015-11-20 08:41:01
Package: PredictABEL
Title: Assessment of Risk Prediction Models
Version: 1.2-2
Date: 2014-12-20
Author: Suman Kundu, Yurii S. Aulchenko, A. Cecile J.W. Janssens
Maintainer: Suman Kundu <suman_math@yahoo.com>
Depends: R (>= 2.12.0), Hmisc, ROCR, epitools, PBSmodelling
Suggests: GenABEL
Description: PredictABEL includes functions to assess the performance of
risk models. The package contains functions for the various measures that are
used in empirical studies, including univariate and multivariate odds ratios
(OR) of the predictors, the c-statistic (or area under the receiver operating
characteristic (ROC) curve (AUC)), Hosmer-Lemeshow goodness of fit test,
reclassification table, net reclassification improvement (NRI) and
integrated discrimination improvement (IDI). Also included are functions
to create plots, such as risk distributions, ROC curves, calibration plot,
discrimination box plot and predictiveness curves. In addition to functions
to assess the performance of risk models, the package includes functions to
obtain weighted and unweighted risk scores as well as predicted risks using
logistic regression analysis. These logistic regression functions are
specifically written for models that include genetic variables, but they
can also be applied to models that are based on non-genetic risk factors only.
Finally, the package includes function to construct a simulated dataset with
genotypes, genetic risks, and disease status for a hypothetical population, which
is used for the evaluation of genetic risk models.
License: GPL (>= 2)
URL: http://www.genabel.org/packages/PredictABEL
Packaged: 2014-12-21 16:20:44 UTC; ripley
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-12-21 17:55:30
Package: Scale
Type: Package
Title: Likert Type Questionnaire Item Analysis
Version: 1.0.4
Date: 2015-05-05
Author: Nikolaos Giallousis
Maintainer: Nikolaos Giallousis <psierevn@gmail.com>
Description: Provides the Scale class and corresponding functions, in order to facilitate data input for scale construction. Reverse items and alternative orders of administration are dealt with by the program. Computes reliability statistics, confirmatory, single factor loadings. It suggests item deletions and produces basic text output in English, for incorporation in reports. Returns list objects of all relevant functions from other packages (see Depends).
License: GPL-2
Depends: psych, Hmisc, MASS
URL:
Suggests:
LazyData: true
Packaged: 2015-05-05 22:10:17 UTC; N31k
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-05-06 14:46:23
providing 
.