Package: tsdisagg2 0.1.0

tsdisagg2: Time Series Disaggregation

Disaggregates low frequency time series data to higher frequency series. Implements the following methods for temporal disaggregation: Boot, Feibes and Lisman (1967) <doi:10.2307/2985238>, Chow and Lin (1971) <doi:10.2307/1928739>, Fernandez (1981) <doi:10.2307/1924371> and Litterman (1983) <doi:10.2307/1391858>.

Authors:Jorge Vieira <[email protected]>

tsdisagg2_0.1.0.tar.gz
tsdisagg2_0.1.0.zip(r-4.5)tsdisagg2_0.1.0.zip(r-4.4)tsdisagg2_0.1.0.zip(r-4.3)
tsdisagg2_0.1.0.tgz(r-4.4-any)tsdisagg2_0.1.0.tgz(r-4.3-any)
tsdisagg2_0.1.0.tar.gz(r-4.5-noble)tsdisagg2_0.1.0.tar.gz(r-4.4-noble)
tsdisagg2_0.1.0.tgz(r-4.4-emscripten)tsdisagg2_0.1.0.tgz(r-4.3-emscripten)
tsdisagg2.pdf |tsdisagg2.html✨
tsdisagg2/json (API)

# Install 'tsdisagg2' in R:

install.packages('tsdisagg2', repos = c('https://jvieira13.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 2 scripts 162 downloads 1 exports 0 dependencies

Last updated 8 years agofrom:ac23ed51bc. Checks:ERROR: 1 OK: 6. Indexed: yes.

Target	Result	Date
Doc / Vignettes	FAIL	Nov 23 2024
R-4.5-win	OK	Nov 23 2024
R-4.5-linux	OK	Nov 23 2024
R-4.4-win	OK	Nov 23 2024
R-4.4-mac	OK	Nov 23 2024
R-4.3-win	OK	Nov 23 2024
R-4.3-mac	OK	Nov 23 2024