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Last data update: 2014.03.03

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FinancialInstrument : Financial Instrument Model Infrastructure for R

Copyright: (c) 2004 - 2014
Package: FinancialInstrument
Maintainer: Garrett See <gsee000@gmail.com>
License: GPL
Title: Financial Instrument Model Infrastructure for R
Type: Package
LazyLoad: yes
Author: Peter Carl, Brian G. Peterson, Garrett See
Description: Infrastructure for defining meta-data and
relationships for financial instruments.
Version: 1.2.0
URL: https://r-forge.r-project.org/projects/blotter/
Date: 2014-12-15
Depends: R (>= 2.12.0), quantmod (>= 0.4-3), zoo (>= 1.7-5), xts
Imports: TTR
Suggests: foreach, XML (>= 3.96.1.1), testthat, its, timeSeries
Packaged: 2014-12-15 19:11:17.285527 UTC; garrett
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-12-16 00:49:25

● Data Source: CranContrib
● 0 images, 69 functions, 0 datasets
● Reverse Depends: 0

fractalrock : Generate fractal time series with non-normal returns distribution

Package: fractalrock
Type: Package
Title: Generate fractal time series with non-normal returns
distribution
Version: 1.1.0
Date: 2013-02-04
Author: Brian Lee Yung Rowe
Maintainer: Brian Lee Yung Rowe <r@zatonovo.com>
Depends: futile.any (>= 1.3.0), futile.logger (>= 1.3.0), timeDate,
quantmod
Description: The basic principle driving fractal generation of time
series is that data is generated iteratively based on
increasing levels of resolution. The initial series is defined
by a so-called initiator pattern and then generators are used
to replace each segment of the initial pattern. Regular,
repeatable patterns can be produced by using the same seed and
generators. By using a set of generators, non-repeatable time
series can be produced. This technique is the basis of the
fractal time series process in this package.
License: GPL-3
LazyLoad: yes
Packaged: 2013-02-04 20:03:17 UTC; brian
Repository: CRAN
Date/Publication: 2013-02-05 05:41:05

● Data Source: CranContrib
● Cran Task View: TimeSeries
● 0 images, 5 functions, 2 datasets
● Reverse Depends: 0

acp : Autoregressive Conditional Poisson

Package: acp
Title: Autoregressive Conditional Poisson
Version: 2.1
Date: 2015-11-27
Author: Siakoulis Vasileios
Maintainer: Siakoulis Vasilios <Siakoulis.Vasilios@atticabank.gr>
Description: Analysis of count data exhibiting autoregressive properties, using the Autoregressive Conditional Poisson model (ACP(p,q)) proposed by Heinen (2003).
License: GPL-2
Depends: tseries, quantmod
NeedsCompilation: no
Packaged: 2015-12-03 18:32:43 UTC; siakbill
Repository: CRAN
Date/Publication: 2015-12-04 00:03:26

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