Last data update: 2014.03.03

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Results 1 - 7 of 7 found.
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GAD : GAD: Analysis of variance from general principles

Package: GAD
Type: Package
Title: GAD: Analysis of variance from general principles
Version: 1.1.1
Date: 2011-02-21
Author: Leonardo Sandrini-Neto & Mauricio G. Camargo
Maintainer: Leonardo Sandrini-Neto <leonardosandrini@gmail.com>
Depends: R (>= 2.7.0), stats, matrixStats, R.methodsS3
Description: This package analyses complex ANOVA models with any
combination of orthogonal/nested and fixed/random factors, as
described by Underwood (1997). There are two restrictions: (i)
data must be balanced; (ii) fixed nested factors are not
allowed. Homogeneity of variances is checked using Cochran's C
test and 'a posteriori' comparisons of means are done using
Student-Newman-Keuls (SNK) procedure.
License: GPL (>= 2.0)
Packaged: 2012-10-29 08:57:06 UTC; ripley
Repository: CRAN
Date/Publication: 2012-10-29 08:57:06

● Data Source: CranContrib
● Cran Task View: ExperimentalDesign
● 0 images, 9 functions, 3 datasets
● Reverse Depends: 0

NSA : Post-normalization of total copy numbers

Package: NSA
Version: 0.0.32
Date: 2012-12-20
Title: Post-normalization of total copy numbers
Author: Maria Ortiz-Estevez <mortizest@gmail.com>, Ander Aranburu
<aaranburu@ceit.es>, Angel Rubio <arubio@ceit.es>
Maintainer: Maria Ortiz-Estevez <mortizest@gmail.com>
Depends: R (>= 2.11.1), R.methodsS3 (>= 1.2.0), MASS, matrixStats (>=
0.2.1), R.oo (>= 1.7.3), R.utils (>= 1.4.2), aroma.core (>=
1.6.0), aroma.affymetrix, DNAcopy
Description: Post-normalization of total copy-number estimates.
License: LGPL (>= 2.1)
URL: http://r-forge.r-project.org/projects/snpsprocessing/
LazyLoad: TRUE
biocViews: Infrastructure, Microarray, DNACopyNumber, Preprocessing,
aCGH, SNP, CopyNumberVariants
Repository: CRAN
Repository/R-Forge/Project: snpsprocessing
Repository/R-Forge/Revision: 202
Repository/R-Forge/DateTimeStamp: 2012-12-20 19:24:38
Date/Publication: 2012-12-21 09:17:05
Packaged: 2012-12-20 23:15:21 UTC; rforge

● Data Source: CranContrib
● BiocViews: CopyNumberVariants, DNACopyNumber, Infrastructure, Microarray, Preprocessing, SNP, aCGH
● 0 images, 11 functions, 0 datasets
● Reverse Depends: 0

R.oo : R Object-Oriented Programming with or without References

Package: R.oo
Version: 1.20.0
Depends: R (>= 2.13.0), R.methodsS3 (>= 1.7.0)
Imports: methods, utils
Suggests: tools
Date: 2016-02-17
Title: R Object-Oriented Programming with or without References
Authors@R: c(person("Henrik", "Bengtsson", role=c("aut", "cre", "cph"),
email = "henrikb@braju.com"))
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>
Description: Methods and classes for object-oriented programming in R with or without references. Large effort has been made on making definition of methods as simple as possible with a minimum of maintenance for package developers. The package has been developed since 2001 and is now considered very stable. This is a cross-platform package implemented in pure R that defines standard S3 classes without any tricks.
License: LGPL (>= 2.1)
LazyLoad: TRUE
URL: https://github.com/HenrikBengtsson/R.oo
BugReports: https://github.com/HenrikBengtsson/R.oo/issues
NeedsCompilation: no
Packaged: 2016-02-17 20:15:51 UTC; hb
Repository: CRAN
Date/Publication: 2016-02-17 22:31:34

● Data Source: CranContrib
● 0 images, 185 functions, 0 datasets
Reverse Depends: 8

curvetest : The package will formally test two curves represented by discrete data sets to be statistically equal or not when the errors of the two curves were assumed either equal or not using the tube formula to calculate the tail probabilities.

Package: curvetest
Type: Package
Title: The package will formally test two curves represented by
discrete data sets to be statistically equal or not when the
errors of the two curves were assumed either equal or not using
the tube formula to calculate the tail probabilities.
Version: 2.2
Date: 2012-03-1
Author: Zhongfa Zhang
Maintainer: Zhongfa Zhang<zjz999@gmail.com>
Description: Test Equality of Curves with Homoscedastic or
Heteroscedastic Errors.
License: GPL-2
LazyLoad: yes
Depends: locfit, R.oo, methods, R.methodsS3
Packaged: 2012-03-01 17:24:07 UTC; jacob
Repository: CRAN
Date/Publication: 2012-03-01 18:12:41

● Data Source: CranContrib
● 0 images, 6 functions, 0 datasets
● Reverse Depends: 0

CellularAutomaton : One-Dimensional Cellular Automata

Package: CellularAutomaton
Type: Package
Title: One-Dimensional Cellular Automata
Version: 1.1-1
Date: 2013-08-19
Author: John Hughes
Maintainer: John Hughes <hughesj@umn.edu>
Depends: R.oo, R.methodsS3
Description: This package is an object-oriented implementation of one-dimensional cellular automata. It supports many of the features offered by Mathematica, including elementary rules, user-defined rules, radii, user-defined seeding, and plotting.
License: GPL
Packaged: 2013-08-20 00:22:37 UTC; jphughesjr
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-08-20 07:01:00

● Data Source: CranContrib
● Cran Task View: ChemPhys
4 images, 16 functions, 0 datasets
● Reverse Depends: 0

ACTCD : Asymptotic Classification Theory for Cognitive Diagnosis

Package: ACTCD
Type: Package
Title: Asymptotic Classification Theory for Cognitive Diagnosis
Version: 1.0-0
Date: 2013-10-21
Author: Chia-Yi Chiu (Rutgers, the State University of New Jersey) and Wenchao Ma (Rutgers, the State University of New Jersey)
Maintainer: Wenchao Ma <wenchao.ma@rutgers.edu>
Depends: R (>= 2.15.1), R.methodsS3
LazyLoad: yes
LazyData: no
Description: This package includes functions used to perform cluster analysis for cognitive
diagnosis based on the Asymptotic Classification Theory (Chiu, Douglas & Li, 2009). Given the
sample statistic of sum-scores and the item-by-attribute association matrix (Q-matrix; Tatsuoka, 1985),
cluster analysis techniques can be used to classify examinees into latent
classes based on their attribute patterns. In addition to the algorithms used to classify data, three
labeling approaches are proposed to label clusters so that examinees' attribute profiles can be obtained.
License: GPL (>= 2)
Packaged: 2013-10-21 19:19:43 UTC; Wenchao
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2013-10-22 00:50:45

● Data Source: CranContrib
● 0 images, 7 functions, 3 datasets
● Reverse Depends: 0

DATforDCEMRI : Deconvolution Analysis Tool for Dynamic Contrast Enhanced MRI

Package: DATforDCEMRI
Type: Package
Title: Deconvolution Analysis Tool for Dynamic Contrast Enhanced MRI
Version: 0.55
Date: 2013-03-19
Author: Gregory Z. Ferl
Maintainer: Gregory Z. Ferl <ferl.gregory@gene.com>
Depends: R (>= 2.11.0), xtable, akima, R.oo, R.methodsS3, matlab,
lattice, locfit, graphics, grDevices, grid
Suggests: R.matlab
Description: This package performs voxel-wise deconvolution analysis of
DCE-MRI contrast agent concentration versus time data and
generates the Impulse Response Function, which can be used to
approximate commonly utilized kinetic parameters such as Ktrans
and ve. An interactive advanced voxel diagnosis tool (AVDT) is
also provided to facilitate easy navigation of voxel-wise data.
License: CC BY-NC-SA 3.0
LazyLoad: yes
LazyData: yes
Packaged: 2013-03-20 03:28:49 UTC; ferlg
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-03-20 07:49:01

● Data Source: CranContrib
● 0 images, 4 functions, 0 datasets
● Reverse Depends: 0