Package: mederrRank
Title: Bayesian Methods for Identifying the Most Harmful Medication
Errors
Version: 0.0.8
Date: 2015-07-06
Description: Two distinct but related statistical approaches to the problem of identifying the combinations of medication error characteristics that are more likely to result in harm are implemented in this package: 1) a Bayesian hierarchical model with optimal Bayesian ranking on the log odds of harm, and 2) an empirical Bayes model that estimates the ratio of the observed count of harm to the count that would be expected if error characteristics and harm were independent. In addition, for the Bayesian hierarchical model, the package provides functions to assess the sensitivity of results to different specifications of the random effects distributions.
Author: Sergio Venturini, Jessica Myers
Maintainer: Sergio Venturini <sergio.venturini@unibocconi.it>
Depends: BB, methods, numDeriv, utils
Imports: graphics, stats
License: GPL (>= 2)
LazyLoad: yes
NeedsCompilation: no
Packaged: 2015-07-07 16:34:25 UTC; Sergio
Repository: CRAN
Date/Publication: 2015-07-08 00:27:38
Package: NPCD
Type: Package
Version: 1.0-9
Date: 2015-10-2
Title: Nonparametric Methods for Cognitive Diagnosis
Authors@R: c(person("Yi", "Zheng", role = c("aut", "cre"), email = "yi.isabel.zheng@asu.edu"), person("Chia-Yi", "Chiu", role = "aut"), person("Jeffrey A.", "Douglas", role = "ctb", email = "jeffdoug@illinois.edu"))
Maintainer: Yi Zheng <yi.isabel.zheng@asu.edu>
Description: An array of nonparametric and parametric estimation methods for cognitive diagnostic models, including nonparametric classification of examinee attribute profiles, joint maximum likelihood estimation (JMLE) of examinee attribute profiles and item parameters, and nonparametric refinement of the Q-matrix, as well as conditional maximum likelihood estimation (CMLE) of examinee attribute profiles given item parameters and CMLE of item parameters given examinee attribute profiles. Currently the nonparametric methods in the package support both conjunctive and disjunctive models, and the parametric methods in the package support the DINA model, the DINO model, the NIDA model, the G-NIDA model, and the R-RUM model.
Depends: R (>= 2.14.2), BB, R.oo
Imports: R.methodsS3
LazyLoad: yes
LazyData: yes
License: LGPL (>= 2.1)
Repository: CRAN
NeedsCompilation: no
Packaged: 2015-10-03 16:44:32 UTC; Isabelle
Author: Yi Zheng [aut, cre],
Chia-Yi Chiu [aut],
Jeffrey A. Douglas [ctb]
Date/Publication: 2015-10-03 19:41:04
Package: PoisBinNonNor
Type: Package
Title: Data Generation with Poisson, Binary and Continuous Components
Version: 1.1
Date: 2016-05-13
Author: Gul Inan, Hakan Demirtas
Maintainer: Gul Inan <inanx002@umn.edu>
Description: Generation of multiple count, binary and continuous variables simultaneously
given the marginal characteristics and association structure. Throughout the package,
the word 'Poisson' is used to imply count data under the assumption of Poisson distribution.
License: GPL-2 | GPL-3
Depends: BB, corpcor, Matrix, mvtnorm
NeedsCompilation: no
Packaged: 2016-05-14 03:43:21 UTC; gul
Repository: CRAN
Date/Publication: 2016-05-13 23:45:09
Package: RobPer
Type: Package
Title: Robust Periodogram and Periodicity Detection Methods
Version: 1.2.2
Date: 2016-03-27
Authors@R: c(person("Anita M.", "Thieler", role = "aut"), person("Jonathan", "Rathjens", role = c("aut", "cre"), email = "jonathan.rathjens@tu-dortmund.de"), person("Roland", "Fried", role = "aut"), person("Brenton R.", "Clarke", role = "ctb", comment = "function betaCvMfit()"), person("Uwe", "Ligges", role = "ctb", comment = "function TK95()"), person("Matias", "Salibian-Barrera", role = "ctb", comment = "functions FastS() and FastTau()"), person("Gert", "Willems", role = "ctb", comment = "function FastTau()"), person("Victor", "Yohai", role = "ctb", comment = "function FastS()"))
Depends: robustbase, quantreg, splines, BB, rgenoud
Description: Calculates periodograms based on (robustly) fitting periodic functions to light curves (irregularly observed time series, possibly with measurement accuracies, occurring in astroparticle physics). Three main functions are included: RobPer() calculates the periodogram. Outlying periodogram bars (indicating a period) can be detected with betaCvMfit(). Artificial light curves can be generated using the function tsgen(). For more details see the corresponding article: Thieler, Fried and Rathjens (2016), Journal of Statistical Software 69(9), 1-36, <doi:10.18637/jss.v069.i09>.
License: GPL-3
Copyright: The data in star_groj0422.32 have been kindly provided by
the NASA. The data in Mrk421 and Mrk501 have been kindly
provided by the Deutsches Elektronen-Synchrotron. See the
respective documentation.
NeedsCompilation: no
Packaged: 2016-03-27 14:14:07 UTC; jrathjens
Author: Anita M. Thieler [aut],
Jonathan Rathjens [aut, cre],
Roland Fried [aut],
Brenton R. Clarke [ctb] (function betaCvMfit()),
Uwe Ligges [ctb] (function TK95()),
Matias Salibian-Barrera [ctb] (functions FastS() and FastTau()),
Gert Willems [ctb] (function FastTau()),
Victor Yohai [ctb] (function FastS())
Maintainer: Jonathan Rathjens <jonathan.rathjens@tu-dortmund.de>
Repository: CRAN
Date/Publication: 2016-03-27 17:42:26
Package: LIHNPSD
Type: Package
Title: Poisson Subordinated Distribution
Version: 0.2.1
Date: 2012-04-12
Author: Stephen Horng-Twu Lihn <stevelihn@gmail.com>
Maintainer: Stephen Horng-Twu Lihn <stevelihn@gmail.com>
Description: A Poisson Subordinated Distribution to capture major
leptokurtic features in log-return time series of financial
data.
License: GPL-2
Depends: R (>= 2.14.1), sn, moments, BB, Bolstad2, optimx, Rmpfr
URL: http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2032762
Packaged: 2012-04-13 00:31:01 UTC; slihn
Repository: CRAN
Date/Publication: 2012-04-13 05:19:27
Package: BinNonNor
Type: Package
Title: Data Generation with Binary and Continuous Non-Normal Components
Version: 1.3
Date: 2016-05-13
Author: Gul Inan, Hakan Demirtas
Maintainer: Gul Inan <inanx002@umn.edu>
Description: Generation of multiple binary and continuous non-normal variables simultaneously
given the marginal characteristics and association structure based on the methodology
proposed by Demirtas et al. (2012).
License: GPL-2 | GPL-3
Depends: BB, corpcor, mvtnorm, Matrix
NeedsCompilation: no
Packaged: 2016-05-14 03:39:19 UTC; gul
Repository: CRAN
Date/Publication: 2016-05-13 23:45:05
providing 
.