Package: geofd
Version: 1.0
Author: Ramon Giraldo <rgiraldoh@unal.edu.co>, Pedro Delicado
<pedro.delicado@upc.edu>, Jorge Mateu <mateu@mat.uji.es>
Maintainer: Pedro Delicado <pedro.delicado@upc.edu>
Title: Spatial Prediction for Function Value Data
Description: Kriging based methods are used for predicting functional data
(curves) with spatial dependence.
License: GPL-2
Depends: fda, geoR
Repository: CRAN
Date: 2015-09-21
NeedsCompilation: no
Packaged: 2015-10-05 09:09:31 UTC; delicado
Date/Publication: 2015-10-05 12:58:15
Package: mar1s
Type: Package
Title: Multiplicative AR(1) with Seasonal Processes
Version: 2.1
Date: 2013-10-27
Author: Andrey Paramonov
Maintainer: Andrey Paramonov <cmr.Pent@gmail.com>
Depends: cmrutils, fda, zoo
Description: Multiplicative AR(1) with Seasonal is a stochastic
process model built on top of AR(1). The package provides the
following procedures for MAR(1)S processes: fit, compose, decompose,
advanced simulate and predict.
License: GPL (>= 3)
URL: http://aparamon.msk.ru/svn/study/R-packages/mar1s/
Packaged: 2013-10-27 13:15:52 UTC; pent
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-10-27 16:42:13
Package: Funclustering
Type: Package
Title: A package for functional data clustering.
Version: 1.0.1
Date: 2013-12-20
Author: Mohamed Soueidatt <mohamed.soueidatt@inria.fr>, <msoueidatt@gmail.com>*.
Copyright: Mohamed Soueidatt
Maintainer: Vincent KUBICKI <vincent.kubicki@inria.fr>
Description: This packages proposes a model-based clustering algorithm for
multivariate functional data. The parametric mixture model, based on the
assumption of normality of the principal components resulting from a
multivariate functional PCA, is estimated by an EM-like algorithm. The main
advantage of the proposed algorithm is its ability to take into account the
dependence among curves.
License: GPL (>= 2)
Depends: fda (>= 2.2.6), R (>= 2.15.1), methods
Imports: Rcpp (>= 0.10.3)
LinkingTo: Rcpp, RcppEigen
SystemRequirements: GNU make
Collate: 'cpp_data.R' 'funclust.r' 'input.R' 'output.R' 'plot.R'
'mfpca.R' 'harmCut.r' 'mfpcaPlot.R'
Packaged: 2014-01-15 08:59:14 UTC; modal
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2014-01-15 11:52:11
Package: RFgroove
Type: Package
Title: Importance Measure and Selection for Groups of Variables with
Random Forests
Version: 1.1
Date: 2016-03-16
Author: Baptiste Gregorutti
Maintainer: Baptiste Gregorutti <baptiste.gregorutti@safety-line.fr>
Description: Variable selection tools for groups of variables and functional data based on a new grouped variable importance with random forests.
License: GPL (>= 2.0)
Depends: randomForest, wmtsa, fda
Packaged: 2016-03-17 09:22:35 UTC; bapt
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2016-03-17 13:20:10
Package: GPFDA
Title: Apply Gaussian Process in Functional data analysis
Version: 2.2
Date: 2014-09-26
Depends: R (>= 3.1), fda.usc, spam, fda
Imports: MASS
Author: Jian Qing Shi, Yafeng Cheng
Maintainer: Yafeng Cheng <yafeng.cheng@ncl.ac.uk>
Description: Use functional regression as the mean structure and Gaussian Process as the covariance structure.
License: GPL-3
Packaged: 2014-09-29 19:29:28 UTC; a9590288
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-09-29 23:38:33
Package: fdatest
Type: Package
Title: Interval Testing Procedure for Functional Data
Version: 2.1
Date: 2015-02-05
Depends: fda
Author: Alessia Pini, Simone Vantini
Maintainer: Alessia Pini <alessia.pini@polimi.it>
Description: Implementation of the Interval Testing Procedure for functional data in different frameworks (i.e., one or two-population frameworks, functional linear models) by means of different basis expansions (i.e., B-spline, Fourier, and phase-amplitude Fourier). The current version of the package requires functional data evaluated on a uniform grid; it automatically projects each function on a chosen functional basis; it performs the entire family of multivariate tests; and, finally, it provides the matrix of the p-values of the previous tests and the vector of the corrected p-values. The functional basis, the coupled or uncoupled scenario, and the kind of test can be chosen by the user. The package provides also a plotting function creating a graphical output of the procedure: the p-value heat-map, the plot of the corrected p-values, and the plot of the functional data.
License: GPL-2
Packaged: 2015-02-05 10:27:13 UTC; alessia
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-02-05 13:00:51
Package: ctmcmove
Type: Package
Title: Modeling Animal Movement with Continuous-Time Discrete-Space
Markov Chains
Version: 1.2.4
Date: 2016-06-14
Author: Ephraim Hanks
Maintainer: Ephraim Hanks <hanks@psu.edu>
Depends: R (>= 2.10), raster, Matrix, fda
Suggests: mgcv, dismo
Description: Software to facilitates taking movement data in xyt format and pairing it with raster covariates within a continuous time Markov chain (CTMC) framework. As described in Hanks et al. (2015) <DOI:10.1214/14-AOAS803> , this allows flexible modeling of movement in response to covariates (or covariate gradients) with model fitting possible within a Poisson GLM framework.
License: GPL-2
NeedsCompilation: no
Packaged: 2016-06-14 16:32:28 UTC; ephraim
Repository: CRAN
Date/Publication: 2016-06-14 20:34:39
Package: cyphid
Type: Package
Title: Cycle and Phase Identification for mastication data
Version: 1.1
Date: 2013-04-04
Author: Elizabeth Crane
Maintainer: Elizabeth Crane <bcrane@umich.edu>
Depends: fda
Description: This library contains a primary function that divides
chewing sequences in cycles and cycles into phases. See
get.all.breaks for an example.
License: GPL (>= 2)
LazyLoad: yes
LazyData: yes
Packaged: 2013-05-22 02:56:31 UTC; bcrane
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-05-22 07:52:43
Package: CCA
Type: Package
Encoding: latin1
Title: Canonical correlation analysis
Version: 1.2
Date: 2009-03-11
Author: Ignacio González, Sébastien Déjean
Maintainer: Sébastien Déjean <sebastien.dejean@math.univ-toulouse.fr>
Description: The package provide a set of functions that extend the
cancor function with new numerical and graphical outputs. It
also include a regularized extension of the cannonical
correlation analysis to deal with datasets with more variables
than observations.
Depends: fda, fields
License: GPL (>= 2)
Packaged: 2012-10-29 13:13:08 UTC; ripley
Repository: CRAN
Date/Publication: 2012-10-29 13:13:37