Last data update: 2014.03.03

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Results 221 - 230 of 11200 found.
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gazepath : Gazepath Transforms Eye-Tracking Data into Fixations and Saccades

Package: gazepath
Type: Package
Title: Gazepath Transforms Eye-Tracking Data into Fixations and
Saccades
Version: 1.0
Date: 2015-03-03
Author: Daan van Renswoude
Maintainer: Daan van Renswoude <D.R.vanRenswoude@uva.nl>
Description: Eye-tracking data must be transformed into fixations and saccades before it can be analyzed. This package provides a non-parametric speed-based approach to do this on a trial basis. The method is especially useful when there are large differences in data quality, as the thresholds are adjusted accordingly. The same pre-processing procedure can be applied to all participants, while accounting for individual differences in data quality.
License: GPL-2
Repository: CRAN
Repository/R-Forge/Project: gazepatterns
Repository/R-Forge/Revision: 36
Repository/R-Forge/DateTimeStamp: 2015-04-01 12:54:43
Date/Publication: 2015-04-01 19:39:54
Packaged: 2015-04-01 13:05:17 UTC; rforge
Depends: R (>= 2.10)
NeedsCompilation: no

● Data Source: CranContrib
● 0 images, 2 functions, 2 datasets
● Reverse Depends: 0

gbRd : Utilities for processing Rd objects and files

Package: gbRd
Type: Package
Title: Utilities for processing Rd objects and files
Version: 0.4-11
Date: 2012-01-04
Author: Georgi N. Boshnakov
Maintainer: Georgi N. Boshnakov <georgi.boshnakov@manchester.ac.uk>
Description: Provides utilities for processing Rd objects and files.
Extract argument descriptions and other parts of the help pages
of functions.
Depends: tools
License: GPL (>= 2)
LazyLoad: yes
Packaged: 2012-10-01 09:06:44 UTC; mcbssgb2
Repository: CRAN
Date/Publication: 2012-10-01 12:27:21

● Data Source: CranContrib
● 0 images, 9 functions, 0 datasets
Reverse Depends: 1

gb : Generalize Lambda Distribution and Generalized Bootstrapping

Package: gb
Version: 1.1.8-8
Date: 2013-8-8
Title: Generalize Lambda Distribution and Generalized Bootstrapping
Author: Bin Wang
<bwang@southalabama.edu>.
Maintainer: Bin Wang <bwang@southalabama.edu>
Depends: R (>= 2.5.0), boot
Description: This package collects algorithms and functions for fitting data to a generalized lambda distribution via moment matching methods, and generalized bootstrapping.
License: Unlimited
Packaged: 2013-08-08 16:55:37 UTC; bwang
Repository: CRAN
Date/Publication: 2013-08-08 19:46:47
NeedsCompilation: yes

● Data Source: CranContrib
● 0 images, 5 functions, 1 datasets
● Reverse Depends: 0

gbm2sas : Convert GBM Object Trees to SAS Code

Package: gbm2sas
Type: Package
Title: Convert GBM Object Trees to SAS Code
Version: 2.1
Date: 2015-11-10
Author: John R. Dixon
Maintainer: John R. Dixon <gbm2sas@gmail.com>
Description: Writes SAS code to get predicted values from every tree of a gbm.object.
License: GPL-3
Depends: gbm
Packaged: 2015-11-10 22:25:36 UTC; I800146
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-11-11 00:29:17

● Data Source: CranContrib
● 0 images, 2 functions, 0 datasets
● Reverse Depends: 0

gbm : Generalized Boosted Regression Models

Package: gbm
Version: 2.1.1
Date: 2015-03-10
Title: Generalized Boosted Regression Models
Author: Greg Ridgeway <gregridgeway@gmail.com> with contributions from
others
Maintainer: Harry Southworth <harry.southworth@gmail.com>
Depends: R (>= 2.9.0), survival, lattice, splines, parallel
Suggests: RUnit
Description: An implementation of extensions to Freund and
Schapire's AdaBoost algorithm and Friedman's gradient boosting
machine. Includes regression methods for least squares,
absolute loss, t-distribution loss, quantile regression,
logistic, multinomial logistic, Poisson, Cox proportional
hazards partial likelihood, AdaBoost exponential loss,
Huberized hinge loss, and Learning to Rank measures
(LambdaMart).
License: GPL (>= 2) | file LICENSE
URL: http://code.google.com/p/gradientboostedmodels/
Packaged: 2015-03-11 07:56:18 UTC; ripley
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2015-03-11 09:02:32

● Data Source: CranContrib
● Cran Task View: Survival
● 0 images, 21 functions, 0 datasets
Reverse Depends: 6

gbutils : Simulation of Real and Complex Numbers and Small Programming Utilities

Package: gbutils
Type: Package
Title: Simulation of Real and Complex Numbers and Small Programming
Utilities
Version: 0.2-0
Date: 2016-01-05
Author: Georgi N. Boshnakov
Depends: methods
Imports: stats, utils
Maintainer: Georgi N. Boshnakov <georgi.boshnakov@manchester.ac.uk>
Description: Simulate real and complex numbers from distributions of
their magnitude and arguments. Optionally, the magnitudes and/or
arguments may be fixed in almost arbitrary ways. Small
programming utilities: check if an object is identical to NA,
count positional arguments in a call, set intersection of more
than two sets, check if an argument is unnamed.
License: GPL (>= 2)
Collate: parse_text.R sim_numbers.R isNA.R mintersect.R pad.R args.R
history.R
NeedsCompilation: no
Packaged: 2016-01-08 09:23:28 UTC; gb
Repository: CRAN
Date/Publication: 2016-01-08 10:53:23

● Data Source: CranContrib
● 0 images, 11 functions, 0 datasets
● Reverse Depends: 0

gcbd : GPU/CPU Benchmarking in Debian-based systems

Package: gcbd
Type: Package
Title: GPU/CPU Benchmarking in Debian-based systems
Version: 0.2.5
Date: $Date$
Author: Dirk Eddelbuettel
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Description: GPU/CPU Benchmarking on Debian-package based systems
This package benchmarks performance of a few standard linear algebra
operations (such as a matrix product and QR, SVD and LU decompositions)
across a number of different BLAS libraries as well as a GPU implementation.
.
To do so, it takes advantage of the ability to 'plug and play' different
BLAS implementations easily on a Debian and/or Ubuntu system. The current
version supports
- reference blas (refblas) which are unaccelerated as a baseline
- Atlas which are tuned but typically configure single-threaded
- Atlas39 which are tuned and configured for multi-threaded mode
- Goto Blas which are accelerated and multithreaded
- Intel MKL which are a commercial accelerated and multithreaded version.
As for GPU computing, we use the CRAN package
- gputools
.
For Goto Blas, the gotoblas2-helper script from the ISM in Tokyo can be
used. For Intel MKL we use the Revolution R packages from Ubuntu 9.10.
License: GPL (>= 2)
LazyLoad: yes
Depends: R (>= 2.11.1), RSQLite, plyr, reshape, lattice
Suggests: gputools, Matrix
SystemRequirements: Debian or Ubuntu system with access to Goto Blas,
Intel MKL, Atlas development build as well as a Nvidia GPU with
CUDA support
OS_type: unix
Packaged: 2013-12-12 03:32:49.992031 UTC; edd
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-12-12 07:29:10

● Data Source: CranContrib
● Cran Task View: HighPerformanceComputing
● 0 images, 4 functions, 0 datasets
● Reverse Depends: 0

gcdnet : LASSO and (adaptive) Elastic-Net penalized least squares, logistic regression, HHSVM and squared hinge loss SVM using a fast GCD algorithm

Package: gcdnet
Title: LASSO and (adaptive) Elastic-Net penalized least squares,
logistic regression, HHSVM and squared hinge loss SVM using a
fast GCD algorithm
Version: 1.0.4
Date: 2012-2-21
Author: Yi Yang <yiyang@umn.edu>, Hui Zou <hzou@stat.umn.edu>
Maintainer: Yi Yang <yiyang@umn.edu>
Depends: Matrix
Description: This package implements a generalized coordinate descent (GCD) algorithm for computing the solution path of the hybrid Huberized support vector machine (HHSVM) and its generalization, including the elastic net penalized least squares, the elastic net penalized SVM with the squared hinge loss and the elastic net penalized logistic regression.
License: GPL-2
URL: http://code.google.com/p/gcdnet/
Packaged: 2013-11-18 19:42:17 UTC; emeryyi
Repository: CRAN
Date/Publication: 2013-11-19 07:35:15
NeedsCompilation: yes

● Data Source: CranContrib
● 0 images, 9 functions, 1 datasets
● Reverse Depends: 0

gcerisk : Generalized Competing Event Model

Package: gcerisk
Type: Package
Title: Generalized Competing Event Model
Version: 16.1.3
Date: 2016-04-26
Author: Hanjie Shen <has072@ucsd.edu>, Ruben Carmona
<ruben.carmona13@gmail.com>, Loren Mell <lmell@ucsd.edu>
Maintainer: Hanjie Shen <shenhanjie0418@gmail.com>
Depends: survival, cmprsk, ggplot2,
Imports: stats
Description: Generalized competing event model based on Cox PH model and Fine-Gray model.
This function is designed to develop optimized risk-stratification methods for competing
risks data, such as described in:
1. Carmona R, Gulaya S, Murphy JD, Rose BS, Wu J, Noticewala S,McHale MT, Yashar CM, Vaida F,
and Mell LK.(2014) <DOI:10.1016/j.ijrobp.2014.03.047>. Validated competing event model for thestage I-II
endometrial cancer population. Int J Radiat Oncol Biol Phys.89:888-98.
2. Carmona R, Zakeri K, Green G, Hwang L, Gulaya S, Xu B, Verma R, Williamson CW, Triplett DP, Rose
BS, Shen H, Vaida F, Murphy JD, and Mell LK.(2016) <DOI:10.1200/JCO.2015.65.0739>. Improved method to stratify
elderly cancer patients at risk for competing events. J Clin Oncol.in press.
License: GPL (>= 2)
LazyData: TRUE
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-04-27 18:30:37 UTC; has072
Repository: CRAN
Date/Publication: 2016-04-28 00:52:33

● Data Source: CranContrib
● 0 images, 2 functions, 1 datasets
● Reverse Depends: 0

gclus : Clustering Graphics

Package: gclus
Version: 1.3.1
Author: Catherine Hurley
Date: 2012-06-25
Maintainer: Catherine Hurley <catherine.hurley@nuim.ie>
Title: Clustering Graphics
Description: Orders panels in scatterplot matrices and parallel
coordinate displays by some merit index. Package contains
various indices of merit, ordering functions, and enhanced
versions of pairs and parcoord which color panels according to
their merit level.
Depends: R (>= 2.10), cluster
License: GPL (>= 2)
Packaged: 2012-06-25 16:30:56 UTC; catherin
Repository: CRAN
Date/Publication: 2012-06-25 16:50:15

● Data Source: CranContrib
● Cran Task View: Graphics, Multivariate
● 0 images, 13 functions, 4 datasets
Reverse Depends: 1