Other packages > Find by keyword >

tempdisagg  

Methods for Temporal Disaggregation and Interpolation of Time Series
View on CRAN: Click here


Download and install tempdisagg package within the R console
Install from CRAN:
install.packages("tempdisagg")

Install from Github:
library("remotes")
install_github("cran/tempdisagg")

Install by package version:
library("remotes")
install_version("tempdisagg", "1.1.1")



Attach the package and use:
library("tempdisagg")
Maintained by
Christoph Sax
[Scholar Profile | Author Map]
First Published: 2012-04-02
Latest Update: 2023-08-08
Description:
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.
How to cite:
Christoph Sax (2012). tempdisagg: Methods for Temporal Disaggregation and Interpolation of Time Series. R package version 1.1.1, https://cran.r-project.org/web/packages/tempdisagg. Accessed 07 May. 2025.
Previous versions and publish date:
0.12 (2012-04-02 11:15), 0.13 (2012-04-16 20:01), 0.21 (2013-02-12 21:12), 0.22 (2013-08-04 19:49), 0.23 (2014-01-11 12:48), 0.24.0 (2014-12-07 16:01), 0.25.0 (2016-07-10 11:00), 1.0 (2020-02-07 15:40), 1.1 (2023-03-09 10:50)
Other packages that cited tempdisagg R package
View tempdisagg citation profile
Other R packages that tempdisagg depends, imports, suggests or enhances
Complete documentation for tempdisagg
Functions, R codes and Examples using the tempdisagg R package
Some associated functions: exports.m . gdp.q . plot.td . predict.td . spi.d . summary.td . ta . td . tempdisagg-package . 
Some associated R codes: irregular.R . ta.R . td.R . td.calc.R . td.output.R . td.sub.R . tempdisagg-package.R . utils.R .  Full tempdisagg package functions and examples
Downloads during the last 30 days
04/0704/0804/0904/1004/1104/1204/1304/1404/1504/1604/1704/1804/1904/2004/2104/2204/2304/2404/2504/2604/2704/2804/2904/3005/0105/0205/0305/0405/05Downloads for tempdisagg2030405060708090TrendBars

Today's Hot Picks in Authors and Packages

funLBM  
Model-Based Co-Clustering of Functional Data
The funLBM algorithm allows to simultaneously cluster the rows and the columns of a data matrix wher ...
Download / Learn more Package Citations See dependency  
humanize  
Create Values for Human Consumption
An almost direct port of the 'python' 'humanize' package . Thi ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
MLDS  
Maximum Likelihood Difference Scaling
Difference scaling is a method for scaling perceived supra-threshold differences. The package cont ...
Download / Learn more Package Citations See dependency  
aroma.affymetrix  
Analysis of Large Affymetrix Microarray Data Sets
A cross-platform R framework that facilitates processing of any number of Affymetrix microarray samp ...
Download / Learn more Package Citations See dependency  

24,205

R Packages

207,311

Dependencies

65,312

Author Associations

24,206

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA