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christophsax committed Dec 7, 2014
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8 changes: 4 additions & 4 deletions DESCRIPTION
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Package: tempdisagg
Version: 0.23.25
Date: 2014-11-09
Version: 0.24.0
Date: 2014-12-07
Title: Methods for Temporal Disaggregation and Interpolation of Time Series
Author: Christoph Sax, Peter Steiner
Maintainer: Christoph Sax <christoph.sax@gmail.com>
Expand All @@ -11,7 +11,7 @@ Description: Temporal disaggregation methods are used to disaggregate and
either the sum, the average, the first or the last value of the resulting
high frequency series is consistent with the low frequency series. Temporal
disaggregation can be performed with or without one or more high frequency
indicator series. The R package tempdisagg is a collection of several
methods for temporal disaggregation.
indicator series. Contains the methods of Chow-Lin, Fernandez, Litterman,
Denton and Denton-Cholette.
License: GPL-3
LazyLoad: yes
4 changes: 2 additions & 2 deletions NEWS
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0.24 2014-??-??
0.24 2014-12-07

changes visible to the user:
- retropolation: 'td' will performs both extra- and retropolation if the high
frequency series covers a larger time span than the low frequency series.
- low frequency values are ignored if series is longer than high frequency
series (with a warning).
- suggestion to use "denton-cholette" when the original "denton" method is
- suggestion to use 'denton-cholette' when the original 'denton' method is
chosen.

0.23 2014-01-11
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2 changes: 1 addition & 1 deletion R/td.R
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Expand Up @@ -225,7 +225,7 @@ td <- function(formula, conversion = "sum", to = "quarterly",
}

if (method == "denton"){
message('"denton-cholette" removes the transient movement at the beginning of the series of the original "denton" method and is preferable in most cases.')
message("'denton-cholette' removes the transient movement at the beginning of the series and is preferable to the original 'denton' method in most cases.")
}


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2 changes: 1 addition & 1 deletion README.md
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tempdisagg: Methods for Temporal Disaggregation and Interpolation of Time Series
--------------------------------------------------------------------------------

Temporal disaggregation methods are used to disaggregate or interpolate a low frequency time series to a higher frequency series, where either the sum, the average, the first or the last value of the resulting high frequency series is consistent with the low frequency series. Temporal disaggregation can be performed with or without one or more high frequency indicator series. The R package tempdisagg is a collection of several methods for temporal disaggregation.
Temporal disaggregation methods are used to disaggregate or interpolate a low frequency time series to a higher frequency series, where either the sum, the average, the first or the last value of the resulting high frequency series is consistent with the low frequency series. Temporal disaggregation can be performed with or without one or more high frequency indicator series. Contains the methods of Chow-Lin, Fernandez, Litterman, Denton and Denton-Cholette.

To install or update from from [CRAN][package], run:

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