Package: medSTC
Type: Package
Title: A max-margin supervised Sparse Topical Coding Model
Version: 1.0.0
Date: 2013-01-15
Author: Jun Zhu <junzhu@cs.cmu.edu>, Aykut FIRAT <aykut@mit.edu>
Maintainer: Aykut FIRAT <aykut@crimsonhexagon.com>
Description: This is a C++ implementation of Sparse Topical Coding
(STC), a model of discrete data which is fully described in Zhu
et al. (2011) (http://www.cs.cmu.edu/~junzhu/stc/stc.pdf). It
can be used for multi-class classification and describing
documents with underlying sparse topics.
Depends: R (>= 2.10)
License: file LICENSE
LazyLoad: yes
Packaged: 2013-01-23 20:17:33 UTC; aykut
Repository: CRAN
Date/Publication: 2013-01-24 08:24:00
NeedsCompilation: yes
License_restricts_use: yes
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: medicalrisk
Type: Package
Title: Medical Risk and Comorbidity Tools for ICD-9-CM Data
Version: 1.2
Date: 2016-01-23
Authors@R: c(person("Patrick", "McCormick", role = c("aut", "cre"),
email = "patrick.mccormick@alum.mit.edu"),
person("Thomas", "Joseph", role = "aut",
email = "thomas.joseph@mountsinai.org"))
Description: Generates risk estimates and comorbidity flags from ICD-9-CM
codes available in administrative medical datasets. The package supports
the Charlson Comorbidity Index, the Elixhauser Comorbidity
classification, the Revised Cardiac Risk Index, and the Risk Stratification
Index. Methods are table-based, fast, and use the 'plyr' package, so
parallelization is possible for large jobs. Also includes a sample of
real ICD-9 data for 100 patients from a publicly available dataset.
Depends: R (>= 3.0.0)
Imports: plyr (>= 1.5), reshape2, hash
Suggests: testthat, knitr, ggplot2, gridExtra
License: GPL-3 | file LICENSE
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 5.0.1
BugReports: https://github.com/patrickmdnet/medicalrisk/issues
URL: https://github.com/patrickmdnet/medicalrisk
NeedsCompilation: no
Packaged: 2016-01-24 00:23:59 UTC; Patrick
Author: Patrick McCormick [aut, cre],
Thomas Joseph [aut]
Maintainer: Patrick McCormick <patrick.mccormick@alum.mit.edu>
Repository: CRAN
Date/Publication: 2016-01-24 15:45:31
Package: mefa
Type: Package
Title: Multivariate Data Handling in Ecology and Biogeography
Version: 3.2-7
Date: 2016-01-11
Author: Peter Solymos
Maintainer: Peter Solymos <solymos@ualberta.ca>
Description: A framework package aimed to provide standardized computational environment for specialist work via object classes to represent the data coded by samples, taxa and segments (i.e. subpopulations, repeated measures). It supports easy processing of the data along with cross tabulation and relational data tables for samples and taxa. An object of class `mefa' is a project specific compendium of the data and can be easily used in further analyses. Methods are provided for extraction, aggregation, conversion, plotting, summary and reporting of `mefa' objects. Reports can be generated in plain text or LaTeX format. Vignette contains worked examples.
Depends: R (>= 2.14.0)
Suggests: MASS, vegan, mefa4, Matrix
Imports: methods
License: GPL-2
URL: https://github.com/psolymos/mefa
LazyLoad: yes
LazyData: true
NeedsCompilation: no
Packaged: 2016-01-11 22:08:05 UTC; Peter
Repository: CRAN
Date/Publication: 2016-01-12 00:26:03
Package: megaptera
Type: Package
Title: MEGAPhylogeny Techniques in R
Version: 1.0-0
Date: 2014-10-30
Author: Christoph Heibl
Maintainer: Christoph Heibl <christoph.heibl@gmx.net>
Depends: R (>= 2.10), snowfall, ips
Imports: ape, seqinr, methods, RPostgreSQL, XML
Suggests: knitr
Description: Given a set of taxa and marker, the goal is build a complete and correct sequence alignment for phylogenetic analysis.
License: GPL (>= 2)
VignetteBuilder: knitr
Packaged: 2014-11-13 06:55:15 UTC; stoffi
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-11-13 08:44:56
Package: mem
Type: Package
Title: Moving Epidemic Method R Package.
Version: 1.4
Date: 2014-07-10
Author: Jose E. Lozano Alonso <lozalojo@jcyl.es>
Maintainer: Jose E. Lozano Alonso <lozalojo@jcyl.es>
Depends: R (>= 3.1.0), sm, boot
Description: Modelization of influenza epidemics in order to monitor future activity.
License: GPL (>= 2)
Packaged: 2014-07-18 07:38:59 UTC; lozalojo
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-07-18 10:06:13
providing 
.