CRAN/E | tempdisagg

tempdisagg

Methods for Temporal Disaggregation and Interpolation of Time Series

Installation

About

Temporal disaggregation methods are used to disaggregate and interpolate a low frequency time series to a higher frequency series, where either the sum, the mean, 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, Santos-Silva-Cardoso, Fernandez, Litterman, Denton and Denton-Cholette, summarized in Sax and Steiner (2013) doi:10.32614/RJ-2013-028. Supports most R time series classes.

Citation tempdisagg citation info
journal.r-project.org/archive/2013-2/sax-steiner.pdf
Bug report File report

Key Metrics

Version 1.1.1
Published 2023-08-08 264 days ago
Needs compilation? no
License GPL-3
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Maintainer

Maintainer

Christoph Sax

christoph.sax@gmail.com

Authors

Christoph Sax

aut / cre

Peter Steiner

aut

Tommaso Di Fonzo

ctb

Material

README
NEWS
Reference manual
Package source

In Views

TimeSeries

Vignettes

Temporal Disaggregation to High-Frequency (e.g., to daily)
Introduction

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

tempdisagg archive

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