Package: lookupTable
Type: Package
Title: Look-Up Tables using S4
Version: 0.1
Date: 2015-08-17
Authors@R: c(person('Enzo', 'Jia', email = 'enzo.jia@gmail.com', role = c('aut', 'cre')),
person('Marc', 'Maier', email = 'mmaier@massmutual.com', role = 'aut'))
Maintainer: Enzo Jia <enzo.jia@gmail.com>
Description: Fits look-up tables by filling entries with the mean or median values of observations
fall in partitions of the feature space. Partitions can be determined by user of the
package using input argument feature.boundaries, and dimensions of the feature space
can be any combination of continuous and categorical features provided by the data set.
A Predict function directly fetches corresponding entry value, and a default value is
defined as the mean or median of all available observations.
The table and other components are represented using the S4 class lookupTable.
License: MIT + file LICENSE
LazyData: TRUE
Imports: dplyr, methods
Depends: data.table
Suggests: testthat
NeedsCompilation: no
Packaged: 2015-08-27 13:26:20 UTC; mm87727
Author: Enzo Jia [aut, cre],
Marc Maier [aut]
Repository: CRAN
Date/Publication: 2015-08-28 01:21:23
Package: Rbitcoin
Type: Package
Title: R & bitcoin integration
Version: 0.9.2
Date: 2014-09-01
Author: Jan Gorecki
Maintainer: Jan Gorecki <j.gorecki@wit.edu.pl>
Depends: R (>= 2.10), data.table
Imports: RCurl, digest, RJSONIO
Description: Utilities related to Bitcoin. Unified markets API interface
(bitstamp, kraken, btce, bitmarket). Both public and private API calls.
Integration of data structures for all markets. Support SSL. Read Rbitcoin
documentation (command: ?btc) for more information.
License: MIT + file LICENSE
URL: https://github.com/jangorecki/Rbitcoin
BugReports: https://github.com/jangorecki/Rbitcoin/issues
Packaged: 2014-09-01 20:12:00 UTC; jan
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-09-01 22:59:05
Package: LSPFP
Type: Package
Title: Lysate and Secretome Peptide Feature Plotter
Version: 1.0.0
Date: 2016-05-13
Author: Rafael Dellen, with contributions of Fabian Kruse
Maintainer: Rafael Dellen <Rafael.Dellen@uni-duesseldorf.de>
Description: Creates plots of peptides from shotgun proteomics analysis of secretome and lysate samples. These plots contain associated protein features and scores for potential secretion and truncation.
License: GPL-3
Depends: seqinr, RCurl, data.table, bit64
Imports: tcltk2, R.utils, graphics, grDevices, stats, utils
NeedsCompilation: no
Packaged: 2016-05-19 10:46:48 UTC; dellen
Repository: CRAN
Date/Publication: 2016-05-19 16:35:29
Package: drgee
Type: Package
Title: Doubly Robust Generalized Estimating Equations
Version: 1.1.5
Date: 2016-04-19
Author: Johan Zetterqvist <johan.zetterqvist@ki.se> , Arvid Sjölander <arvid.sjolander@ki.se> with contributions from Alexander Ploner.
Maintainer: Johan Zetterqvist <johan.zetterqvist@ki.se>
Description: Fit restricted mean models for the conditional association
between an exposure and an outcome, given covariates. Three methods
are implemented: O-estimation, where a nuisance model for the
association between the covariates and the outcome is used;
E-estimation where a nuisance model for the association
between the covariates and the exposure is used, and doubly robust (DR)
estimation where both nuisance models are used. In DR-estimation,
the estimates will be consistent when at least one of the nuisance
models is correctly specified, not necessarily both.
Depends: stats, nleqslv, survival, R (>= 3.0.0), Rcpp, data.table
LinkingTo: Rcpp, RcppArmadillo
License: GPL-2 | GPL-3
NeedsCompilation: yes
Encoding: UTF-8
Packaged: 2016-04-19 13:29:30 UTC; johanzetterqvist
Repository: CRAN
Date/Publication: 2016-04-25 15:32:12
Package: cvAUC
Type: Package
Title: Cross-Validated Area Under the ROC Curve Confidence Intervals
Version: 1.1.0
Date: 2014-12-07
Author: Erin LeDell, Maya Petersen, Mark van der Laan
Maintainer: Erin LeDell <ledell@berkeley.edu>
Description: This package contains various tools for working with and evaluating cross-validated area under the ROC curve (AUC) estimators. The primary functions of the package are ci.cvAUC and ci.pooled.cvAUC, which report cross-validated AUC and compute confidence intervals for cross-validated AUC estimates based on influence curves for i.i.d. and pooled repeated measures data, respectively. One benefit to using influence curve based confidence intervals is that they require much less computation time than bootstrapping methods. The utility functions, AUC and cvAUC, are simple wrappers for functions from the ROCR package.
License: Apache License (== 2.0)
Depends: ROCR, data.table
URL: https://github.com/ledell/cvAUC
BugReports: https://github.com/ledell/cvAUC/issues
LazyLoad: yes
Packaged: 2014-12-09 01:09:45 UTC; ledell
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-12-09 07:12:38
Package: edgeRun
Type: Package
Title: More Powerful Unconditional Testing of Negative Binomial Means
for Digital Gene Expression Data
Version: 1.0.9
Date: 2014-09-18
Author: Emmanuel Dimont
Maintainer: Emmanuel Dimont <edimont@mail.harvard.edu>
Description: Extends edgeR functionality by improving on exactTest using an unconditional exact test of negative binomial means.
License: MIT + file LICENSE
Depends: edgeR, data.table
Packaged: 2014-09-19 03:22:53 UTC; Emmanuel
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-09-19 06:39:10
Package: AF
Type: Package
Title: Model-Based Estimation of Confounder-Adjusted Attributable
Fractions
Version: 0.1.2
Date: 2016-02-17
Author: Elisabeth Dahlqwist and Arvid Sjölander
Maintainer: Elisabeth Dahlqwist <elisabeth.dahlqwist@ki.se>
Description: Estimates the attributable fraction in different sampling designs adjusted for measured confounders using logistic regression (cross-sectional and case-control designs), conditional logistic regression (matched case-control design) and Cox proportional hazard regression (cohort design with time-to-event outcome). The variance of the estimator is obtained by combining the delta method with the the sandwich formula.
License: GPL-2 | GPL-3
LazyData: TRUE
Depends: stats, base, graphics, survival, drgee, R (>= 3.0.0), data.table
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2016-02-19 11:47:08 UTC; elidah
Repository: CRAN
Date/Publication: 2016-02-19 13:21:35
Package: ARTP2
Type: Package
Title: Pathway and Gene-Level Association Test
Version: 0.9.22
Date: 2016-02-11
Author: Han Zhang, Bill Wheeler, Kai Yu, Yifan Yang
Maintainer: Han Zhang <han.zhang2@nih.gov>
Depends: R (>= 2.10), Formula, data.table, stats, utils, parallel
Description: Pathway and gene level association test using raw data or summary statistics.
License: GPL-2 | GPL-3
URL: https://github.com/zhangh12/ARTP2
BugReports: https://github.com/zhangh12/ARTP2/issues
SystemRequirements: C++11
NeedsCompilation: yes
Packaged: 2016-02-11 18:17:50 UTC; zhangh12
Repository: CRAN
Date/Publication: 2016-02-12 00:57:40
Package: greport
Version: 0.7-1
Date: 2016-04-08
Title: Graphical Reporting for Clinical Trials
Author: Frank E Harrell Jr <f.harrell@vanderbilt.edu>
Maintainer: Frank E Harrell Jr <f.harrell@vanderbilt.edu>
Depends: Hmisc (>= 3.17-0), data.table
Imports: rms (>= 4.4-1), lattice, latticeExtra, ggplot2, Formula, survival, methods
Description: Contains many functions useful for
monitoring and reporting the results of clinical trials and other
experiments in which treatments are compared. LaTeX is
used to typeset the resulting reports, recommended to be in the
context of 'knitr'. The 'Hmisc', 'ggplot2', and 'lattice' packages are used
by 'greport' for high-level graphics.
License: GPL (>= 2)
URL: http://biostat.mc.vanderbilt.edu/Greport
https://github.com/harrelfe/greport
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-04-09 11:50:11 UTC; harrelfe
Repository: CRAN
Date/Publication: 2016-04-10 16:27:47
providing 
.