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README.Rmd
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---
output: github_document
---
<!-- README.md is generated from README.Rmd. Please edit that file -->
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
```
# tempdisagg: Methods for Temporal Disaggregation and Interpolation of Time Series
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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, Santos-Silva-Cardoso, Fernandez, Litterman, Denton and
Denton-Cholette. Supports most R time series classes.
## Installation
To install or update from from [CRAN][package], run:
```r
install.packages("tempdisagg")
```
To install the development version:
```r
# install.packages("remotes")
remotes::install_github("christophsax/tempdisagg")
```
Our article on [temporal disaggregation of time series][article] in the R-Journal describes
the package and the theory of temporal disaggregation in more detail.
Please report bugs on [Github][github] or send an
[e-mail](mailto:[email protected]), thank you!
[package]: https://cran.r-project.org/package=tempdisagg
[article]: https://journal.r-project.org/archive/2013-2/sax-steiner.pdf
[github]: https://github.com/christophsax/tempdisagg