Package: MAPA
Type: Package
Title: Multiple Aggregation Prediction Algorithm
Version: 1.9.1
Date: 2016-05-24
Author: Nikolaos Kourentzes and Fotios Petropoulos
Maintainer: Nikolaos Kourentzes <n.kourentzes@lancaster.ac.uk>
Description: Functions and wrappers for using the Multiple Aggregation Prediction Algorithm (MAPA) for time series forecasting. MAPA models and forecasts time series at multiple temporal aggregation levels, thus strengthening and attenuating the various time series components for better holistic estimation of its structure.
LazyData: yes
License: GPL (>= 2)
Depends: forecast (>= 5.3), parallel
URL:
http://kourentzes.com/forecasting/2014/04/19/multiple-aggregation-prediction-algorithm-mapa/
NeedsCompilation: no
Packaged: 2016-05-24 05:30:16 UTC; Nikos
Repository: CRAN
Date/Publication: 2016-05-24 10:03:51
Package: Mcomp
Title: Data from the M-competitions
Description: The 1001 time series from the M-competition (Makridakis et
al. 1982) and the 3003 time series from the IJF-M3 competition
(Makridakis and Hibon, 2000).
Version: 2.05
Date: 2013-06-19
Depends: R (>= 2.10), graphics, stats, tseries, forecast
LazyData: yes
LazyLoad: yes
Author: Rob J Hyndman with assistance from Muhammad Akram and Christoph
Bergmeir.
Maintainer: Rob J Hyndman <Rob.Hyndman@monash.edu>
License: GPL (>= 2)
URL: http://robjhyndman.com/software/mcomp/
Packaged: 2013-06-19 06:13:41 UTC; hyndman
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-06-19 08:53:19
Package: Dowd
Type: Package
Title: Functions Ported from 'MMR2' Toolbox Offered in Kevin Dowd's
Book Measuring Market Risk
Version: 0.12
Date: 2015-08-20
Author: Dinesh Acharya <dines.acharya@gmail.com>
Maintainer: Dinesh Acharya <dines.acharya@gmail.com>
Description: 'Kevin Dowd's' book Measuring Market Risk is a widely read book
in the area of risk measurement by students and
practitioners alike. As he claims, 'MATLAB' indeed might have been the most
suitable language when he originally wrote the functions, but,
with growing popularity of R it is not entirely
valid. As 'Dowd's' code was not intended to be error free and were mainly
for reference, some functions in this package have inherited those
errors. An attempt will be made in future releases to identify and correct
them. 'Dowd's' original code can be downloaded from www.kevindowd.org/measuring-market-risk/.
It should be noted that 'Dowd' offers both
'MMR2' and 'MMR1' toolboxes. Only 'MMR2' was ported to R. 'MMR2' is more
recent version of 'MMR1' toolbox and they both have mostly similar
function. The toolbox mainly contains different parametric and non
parametric methods for measurement of market risk as well as
backtesting risk measurement methods.
Depends: R (>= 3.0.0), bootstrap, MASS, forecast
Suggests: PerformanceAnalytics, testthat
License: GPL
NeedsCompilation: no
Packaged: 2016-03-10 10:14:28 UTC; dinesh
Repository: CRAN
Date/Publication: 2016-03-11 00:45:03
Package: StMoMo
Title: Stochastic Mortality Modelling
Version: 0.3.1
Author: Andres Villegas <andresmauriciovillegas@gmail.com>,
Pietro Millossovich <Pietro.Millossovich.1@city.ac.uk>,
Vladimir Kaishev <Vladimir.Kaishev.1@city.ac.uk>
Maintainer: Andres Villegas <andresmauriciovillegas@gmail.com>
Description: Implementation of the family of generalised age-period-cohort
stochastic mortality models. This family of models encompasses many models
proposed in the actuarial and demographic literature including the Lee-Carter
model and the Cairns-Blake-Dowd model. It includes functions for fitting
mortality models, analysing their goodness-of-fit and performing mortality
projections and simulations.
URL: http://github.com/amvillegas/StMoMo
BugReports: http://github.com/amvillegas/StMoMo/issues
Imports: MASS, rootSolve (>= 1.6.5.1), fanplot (>= 3.4), reshape2 (>=
1.4.1), fields (>= 8.2), RColorBrewer
Depends: R (>= 3.2.0), gnm (>= 1.0), forecast (>= 6.1)
License: GPL (>= 2)
LazyData: true
Suggests: knitr, xtable
VignetteBuilder: knitr
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-02-09 18:48:25 UTC; Andres M Villegas
Repository: CRAN
Date/Publication: 2016-02-09 20:53:52
Package: expsmooth
Title: Data Sets from "Forecasting with Exponential Smoothing"
Description: Data sets from the book "Forecasting with exponential smoothing: the state space approach" by
Hyndman, Koehler, Ord and Snyder (Springer, 2008).
Version: 2.3
Date: 2015-09-04
Depends: R (>= 2.0.0), forecast
LazyData: yes
LazyLoad: yes
Author: Rob J Hyndman <Rob.Hyndman@monash.edu>
Maintainer: Rob J Hyndman <Rob.Hyndman@monash.edu>
License: GPL (>= 2)
URL: https://github.com/robjhyndman/expsmooth
Packaged: 2015-04-09 02:01:22 UTC; hyndman
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-04-09 07:47:21
Package: dendrometeR
Type: Package
Title: Analyzing Dendrometer Data
Version: 1.0.0
Date: 2016-03-16
Author: Olivier Bouriaud, Ernst van der Maaten, Marieke van der Maaten-Theunissen and Marko Smiljanic
Maintainer: Ernst van der Maaten <ernst.vandermaaten@gmail.com>
Description: Various functions to import, verify, process and plot high-resolution dendrometer using daily and stem-cycle approaches.
License: GPL (>= 2)
Depends: R (>= 3.2.0), forecast, graphics, grDevices, pspline, stats, zoo
Imports: methods
Encoding: UTF-8
Repository: CRAN
RoxygenNote: 5.0.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-03-16 11:14:31 UTC; Ernst
Date/Publication: 2016-03-16 16:43:42
Package: RcmdrPlugin.epack
Type: Package
Title: Rcmdr plugin for time series
Version: 1.2.5
Date: 2012-03-31
Author: Erin Hodgess<hodgesse@uhd.edu>
Maintainer: Erin Hodgess <hodgesse@uhd.edu>
Depends: Rcmdr (>= 1.8-3), TeachingDemos, tseries, abind, MASS, xts, forecast
Description: This package provides an Rcmdr "plug-in" based on the time
series functions. Contributors: G. Jay Kerns, John Fox, and
Richard Heiberger.
License: GPL (>= 2)
Log-Exceptions: garch
Models: Arima, garch, HoltWinters
Repository: CRAN
Date/Publication: 2012-03-31 16:49:50
Packaged: 2012-03-31 16:38:34 UTC; erin
providing 
.