Last data update: 2014.03.03

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Results 1 - 10 of 13 found.
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localgauss : Estimating Local Gaussian Parameters

Package: localgauss
Type: Package
Title: Estimating Local Gaussian Parameters
Version: 0.35
Date: 2016-12-01
Author: Tore Selland Kleppe <tore.kleppe@uis.no>
Maintainer: Tore Selland Kleppe <tore.kleppe@uis.no>
Depends: ggplot2, MASS, foreach, matrixStats
Description: Computational routines for estimating and visualizing local Gaussian parameters. Local Gaussian parameters are useful for characterizing and testing for non-linear dependence within bivariate data. See e.g. Tjostheim and Hufthammer, Local Gaussian correlation: A new measure of dependence, Journal of Econometrics, 2013, Volume 172 (1), pages 33-48.
License: GPL-2
LazyLoad: yes
NeedsCompilation: yes
Packaged: 2016-01-12 09:31:53 UTC; Tore
Repository: CRAN
Date/Publication: 2016-01-12 12:13:16

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

FastHCS : Robust Algorithm for Principal Component Analysis

Package: FastHCS
Type: Package
Title: Robust Algorithm for Principal Component Analysis
Version: 0.0.5
Date: 2013-01-13
Depends: R (>= 3.1.1), matrixStats, robustbase
Suggests: mvtnorm
LinkingTo: Rcpp, RcppEigen
SystemRequirements: C++11
Description: The FastHCS algorithm of Schmitt and Vakili (2014) for high-dimensional, robust PCA modelling and associated outlier detection and diagnostic tools.
License: GPL (>= 2)
LazyLoad: yes
Authors@R: person("Kaveh", "Vakili", email = "vakili.kaveh.email@gmail.com", role = c("aut", "cre"))
Author: Kaveh Vakili [aut, cre]
Maintainer: Kaveh Vakili <vakili.kaveh.email@gmail.com>
NeedsCompilation: yes
Packaged: 2015-05-18 19:08:13 UTC; kaveh
Repository: CRAN
Date/Publication: 2015-05-19 08:45:07

● Data Source: CranContrib
1 images, 8 functions, 3 datasets
● Reverse Depends: 0

FastPCS : FastPCS Robust Fit of Multivariate Location and Scatter

Package: FastPCS
Type: Package
Title: FastPCS Robust Fit of Multivariate Location and Scatter
Version: 0.1.2
Date: 2014-08-13
Depends: R (>= 3.1.1), matrixStats
Suggests: mvtnorm
LinkingTo: Rcpp, RcppEigen
SystemRequirements: C++11
Description: The FastPCS algorithm of Vakili and Schmitt (2014) for robust estimation of multivariate location and scatter and multivariate outliers detection.
License: GPL (>= 2)
LazyLoad: yes
Authors@R: person("Kaveh", "Vakili", email =
"vakili.kaveh.email@gmail.com", role = c("aut", "cre"))
Author: Kaveh Vakili [aut, cre]
Maintainer: Kaveh Vakili <vakili.kaveh.email@gmail.com>
Packaged: 2014-12-25 22:43:35 UTC; kaveh
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2015-01-07 06:26:19

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

FastRCS : Fits the FastRCS Robust Multivariable Linear Regression Model

Package: FastRCS
Type: Package
Title: Fits the FastRCS Robust Multivariable Linear Regression Model
Version: 0.0.7
Date: 2014-01-13
Depends: R (>= 3.1.1), matrixStats
Suggests: mvtnorm
LinkingTo: Rcpp, RcppEigen
SystemRequirements: C++11
Description: The FastRCS algorithm of Vakili and Schmitt (2014) for robust fit of the multivariable linear regression model and outliers detection.
License: GPL (>= 2)
LazyLoad: yes
Authors@R: person("Kaveh", "Vakili", email =
"vakili.kaveh.email@gmail.com", role = c("aut", "cre"))
Author: Kaveh Vakili [aut, cre]
Maintainer: Kaveh Vakili <vakili.kaveh.email@gmail.com>
Packaged: 2015-10-18 12:01:52 UTC; kaveh
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2015-10-18 17:19:56

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

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

LS2Wstat : A Multiscale Test of Spatial Stationarity for LS2W processes

Package: LS2Wstat
Type: Package
Title: A Multiscale Test of Spatial Stationarity for LS2W processes
Version: 2.0-3
Date: 24-06-2014
Authors@R: c(person("Sarah", "Taylor", role="aut"), person("Matt",
"Nunes", role=c("aut","cre"),email="m.nunes@lancaster.ac.uk"),person("Idris","Eckley",role=c("ctb","ths")))
Depends: LS2W (>= 1.3-1), matrixStats, geoR, RandomFields, spdep
Description: Wavelet-based methods for testing stationarity and quadtree segmenting of images
License: GPL-2
Author: Sarah Taylor [aut], Matt Nunes [aut, cre], Idris Eckley [ctb, ths]
Maintainer: Matt Nunes <m.nunes@lancaster.ac.uk>
LazyLoad: yes
Packaged: 2014-06-23 23:31:39 UTC; nunes
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-06-24 08:18:42

● Data Source: CranContrib
● 0 images, 16 functions, 0 datasets
● Reverse Depends: 0

DAMOCLES : Dynamic Assembly Model of Colonization, Local Extinction and Speciation

Package: DAMOCLES
Type: Package
Title: Dynamic Assembly Model of Colonization, Local Extinction and
Speciation
Version: 1.1
Date: 2015-03-05
Depends: R (>= 3.0), geiger, caper, ape, deSolve, matrixStats
Imports: expm, picante
Author: Rampal S. Etienne & Alex L. Pigot
Maintainer: Rampal S. Etienne <r.s.etienne@rug.nl>
License: GPL-2
Description: Simulates and computes (maximum) likelihood of a dynamical model of community assembly that takes into account phylogenetic history.
Packaged: 2015-03-05 15:23:08 UTC; p223208
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-03-05 17:36:50

● Data Source: CranContrib
1 images, 6 functions, 1 datasets
● Reverse Depends: 0

aSPU : Adaptive Sum of Powered Score Test

Package: aSPU
Version: 1.42
Date: 2016-5-2
Title: Adaptive Sum of Powered Score Test
Description: R codes for the (adaptive) Sum of Powered Score ('SPU' and 'aSPU')
tests, inverse variance weighted Sum of Powered score ('SPUw' and 'aSPUw') tests
and gene-based and some pathway based association tests (Pathway based Sum of
Powered Score tests ('SPUpath'), adaptive 'SPUpath' ('aSPUpath') test, 'GEEaSPU'
test for multiple traits - single 'SNP' (single-nucleotide-polymorphism)
association in generalized estimation equations, 'MTaSPUs' test for multiple
traits - single 'SNP' association with Genome Wide Association Studies ('GWAS')
summary statistics, Gene-based Association Test that uses an extended Simes
procedure ('GATES'), Hybrid Set-based Test ('HYST') and extended version
of 'GATES' test for pathway-based association testing ('GATES-Simes'). ).
The tests can be used with genetic and other data sets with covariates. The
response variable is binary or quantitative. Summary; (1) Single trait-'SNP' set
association with individual-level data ('aSPU', 'aSPUw'), (2) Single trait-'SNP'
set association with summary statistics ('aSPUs'), (3) Single trait-pathway
association with individual-level data ('aSPUpath'), (4) Single trait-pathway
association with summary statistics ('aSPUsPath'), (5) Multiple traits-single
'SNP' association with individual-level data ('GEEaSPU'), (6) Multiple traits-
single SNP association with summary statistics ('MTaSPUs'), (7) Multiple traits-`SNP' set association with summary statistics(`MTaSPUsSet'), (8) Multiple traits-pathway association with summary statistics(`MTaSPUsSetPath').
Author: Il-Youp Kwak and others (See Author(s) in each function manual)
Maintainer: Il-Youp Kwak <ikwak@umn.edu>
Suggests: knitr
VignetteBuilder: knitr
Imports: Rcpp (>= 0.12.1)
Depends: R (>= 3.1.0), gee, MASS, mvtnorm, fields, matrixStats
License: GPL-3
LinkingTo: Rcpp, RcppArmadillo
URL: https://github.com/ikwak2/aSPU
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2016-05-02 17:30:10 UTC; ikwak
Repository: CRAN
Date/Publication: 2016-05-03 02:08:52

● Data Source: CranContrib
● 0 images, 18 functions, 4 datasets
Reverse Depends: 1

visualFields : Statistical Methods for Visual Fields

Package: visualFields
Type: Package
Title: Statistical Methods for Visual Fields
Description: A collection of tools for analyzing the field of vision. It provides a framework for development and use of innovative methods for visualization, statistical analysis, and clinical interpretation of visual-field loss and its change over time. It is intended to be a tool for collaborative research.
Version: 0.4.3
Date: 2016-01-15
Author: Ivan Marin-Franch <ivan.marin@uv.es>
Maintainer: Ivan Marin-Franch <ivan.marin@uv.es>
URL: http://people.eng.unimelb.edu.au/aturpin/opi/index.html
Depends: R (>= 2.14.0), stats, utils, gridBase, grid, flip (>= 2.1),
matrixStats, Hmisc
LazyData: yes
License: GPL (>= 2.0)
NeedsCompilation: no
Packaged: 2016-01-16 09:53:12 UTC; ivanmarin-franch
Repository: CRAN
Date/Publication: 2016-01-16 12:06:24

● Data Source: CranContrib
● 0 images, 62 functions, 12 datasets
● Reverse Depends: 0