Package: meteoForecast
Type: Package
Title: Numerical Weather Predictions
Version: 0.49
Date: 2015-12-26
Authors@R: c(person("Oscar", "Perpinan Lamigueiro", email="oscar.perpinan@gmail.com", role=c('cre', 'aut')), person("Marcelo", "Pinho Almeida", email= "marcelopa@iee.usp.br", role='ctb'))
Description: Access to several Numerical Weather Prediction services both in raster format and as a time series for a location. Currently it works with GFS, MeteoGalicia, NAM, and RAP.
URL: http://github.com/oscarperpinan/meteoForecast
BugReports: https://github.com/oscarperpinan/meteoForecast/issues
License: GPL-3
LazyData: yes
Depends: raster, sp, zoo
Imports: methods, stats, utils, XML
Suggests: ncdf4, rgdal, lattice, rasterVis
NeedsCompilation: no
Packaged: 2015-12-26 20:23:41 UTC; oscar
Author: Oscar Perpinan Lamigueiro [cre, aut],
Marcelo Pinho Almeida [ctb]
Maintainer: Oscar Perpinan Lamigueiro <oscar.perpinan@gmail.com>
Repository: CRAN
Date/Publication: 2015-12-27 10:26:05
Package: lgarch
Type: Package
Title: Simulation and Estimation of Log-GARCH Models
Version: 0.6-2
Depends: R (>= 2.15.0), zoo
Date: 2015-09-14
Author: Genaro Sucarrat
Maintainer: Genaro Sucarrat <genaro.sucarrat@bi.no>
URL: http://www.sucarrat.net/
Description: Simulation and estimation of univariate and multivariate log-GARCH models. The main functions of the package are: lgarchSim(), mlgarchSim(), lgarch() and mlgarch(). The first two functions simulate from a univariate and a multivariate log-GARCH model, respectively, whereas the latter two estimate a univariate and multivariate log-GARCH model, respectively.
License: GPL-2
NeedsCompilation: yes
Packaged: 2015-09-15 14:53:03 UTC; admin
Repository: CRAN
Date/Publication: 2015-09-15 19:46:40
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: Modalclust
Type: Package
Title: Hierarchical Modal Clustering
Version: 0.6
Date: 2014-05-23
Author: Surajit Ray and Yansong Cheng
Maintainer: Surajit Ray <sray@math.bu.edu>
Description: Performs Modal Clustering (MAC) including Hierarchical Modal Clustering (HMAC) along with their parallel implementation (PHMAC) over several processors. These model-based non-parametric clustering techniques can extract clusters in very high dimensions with arbitrary density shapes. By default clustering is performed over several resolutions and the results are summarised as a hierarchical tree. Associated plot functions are also provided. There is a package vignette that provides many examples. This version adheres to CRAN policy of not spanning more than two child processes by default.
Depends: R (>= 2.14.0), mvtnorm, zoo, class
Suggests: parallel, MASS
License: GPL-2
Packaged: 2014-05-23 14:14:17 UTC; sray
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-05-23 18:31:24
Package: EIAdata
Type: Package
Title: R Wrapper for the Energy Information Administration (EIA) API
Version: 0.0.3
Date: 2015-03-09
Author: Matthew Brigida
Maintainer: Matthew Brigida <matt@complete-markets.com>
Description: An R wrapper to allow the user to query categories and Series IDs, and import data, from the EIA's API.
Depends: R (>= 2.11.0), XML, plyr, xts, zoo
License: GPL-2
Packaged: 2015-03-10 03:32:56 UTC; matt
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-03-10 06:58:50
Package: FinTS
Type: Package
Title: Companion to Tsay (2005) Analysis of Financial Time Series
Version: 0.4-5
Date: 2009-01-12
Author: Spencer Graves
Maintainer: Spencer Graves <spencer.graves@prodsyse.com>
Description: R companion to Tsay (2005)
Analysis of Financial Time Series, 2nd ed. (Wiley).
Includes data sets, functions and script files
required to work some of the examples. Version 0.3-x
includes R objects for all data files used in the text
and script files to recreate most of the analyses in
chapters 1-3 and 9 plus parts of chapters 4 and 11.
License: GPL (>= 2)
URL: http://faculty.chicagobooth.edu/ruey.tsay/teaching/bs41202/sp2009
Depends: R (>= 2.10), zoo, graphics
Suggests: moments, distrEx, tseries, urca, lmtest, sandwich, psych, GPArotation, chron, polynom, fUnitRoots, e1071
Repository: CRAN
Repository/R-Forge/Project: fints
Repository/R-Forge/Revision: 120
Repository/R-Forge/DateTimeStamp: 2014-03-27 00:41:33
Date/Publication: 2014-03-28 07:18:30
Packaged: 2014-03-27 03:35:28 UTC; rforge
NeedsCompilation: no
providing 
.